公开记录存在风险
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-31 03:13 UTC
NVIDIA-Merlin / models
Merlin Models is a collection of deep learning recommender system model reference implementations
NVIDIA-Merlin/models 的健康指数为 100 分中的 35 分，处于「存在风险」区间。 其得分最高的类别是Engineering Quality（84/100），最低的是Vitality（19/100）。 最近一次更新在 817 天前。 近期的大部分工作由 4 位贡献者完成。
35
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 49（有风险）的上限。AI 就绪度不计入总体分。
35
优秀85-100堪称典范；基本满足所有检验标准
良好70-84健康；仅有轻微不足
中等50-69可接受，但存在明显不足；建议进行审查
存在风险30-49存在重大薄弱环节；采用时应保持审慎
危急1-29问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
评分画像
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.
所有权
软件包生态系统
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 |
|---|---|---|---|---|---|
| PyPI | merlin-models | 23.12.0 | 2,431 | 17 | 933 天前 |
按类别列示的指标
活力
项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？
19
开发活跃度
1危急
疑似弃置
有工作送达，却无人处理
826 天内没有人类提交不计自动化提交拉取请求无人回应问题无人回应发布停滞OpenSSF Scorecard 判定其缺乏维护总体评级上限：存在风险
仅有沉默从不构成判定——一个小而完备的库可能多年无需提交。此提示需同时满足两点：长期没有人类提交，且项目明显未履行应尽的义务。自动化提交不计作维护。
弃置状态如何评估评分方式
| 0/36 | 推送新近度 — 最近一次推送于 817 天前 |
| 0/36 | 提交节奏 — 52 周中有 0 周有提交 |
| 0/18 | 提交量 — 最近一年 0 次提交 |
| 0/10 | OpenSSF Scorecard：Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
所用输入
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 817 |
| active_weeks_last_year | 0 |
发布纪律
47存在风险
评分方式
| 27/27 | 有发布版本 — 已发布 18 个发布版本 |
| 0/36 | 发布时效 — 最近一次发布版本于 933 天前 |
| 19.8/27 | 发布节奏 — 约每 49.1 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — Project has not signed or included provenance with any releases. |
所用输入
| releases_count | 18 |
| latest_release_tag | v23.12.00 |
| releases_from_tags | 否 |
| days_since_latest_release | 933 |
| mean_days_between_releases | 49.1 |
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
66
流行度与采用
62中等
评分方式
| 40.2/60 | 星标 — 301 个星标 |
| 14.5/25 | 复刻 — 56 个复刻 |
| 7.4/15 | 关注者 — 22 位关注者 |
所用输入
| forks | 56 |
| stars | 301 |
| watchers | 22 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
77良好
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（Apache-2.0） |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| has_pull_request_template | 是 |
生态采用（下载量）
56中等
评分方式
| 45.1/80 | 月度下载量 — pypi 合计每月 2,431 次下载 |
| 0/20 | 注册表被依赖数 — 该生态系统不报告此项 |
所用输入
| packages | merlin-models |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2,431 |
已排除计分（无数据或不适用）：注册表被依赖数。 其余权重已重新归一化。
可持续性与治理
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？
76
维护者韧性（巴士系数）
85优秀
评分方式
| 43.2/54 | 巴士系数 — 4 位贡献者贡献了半数提交 |
| 18.2/22.5 | 提交分布 — 头号贡献者编写了 19% 的提交 |
| 13.5/13.5 | 贡献者广度 — 25 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
所用输入
| bus_factor | 4 |
| contributors_sampled | 25 |
| top_contributor_share | 0.193 |
议题与 PR 响应能力
78良好
评分方式
| 33/46.8 | 议题解决 — 70% 的议题已关闭 |
| 31.4/38.3 | PR 接受 — 已裁定的 PR 中 596/726 已合并 |
| 13.5/15 | OpenSSF Scorecard：Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
所用输入
| merged_prs | 596 |
| open_issues | 146 |
| closed_issues | 349 |
| issue_closed_ratio | 0.705 |
| closed_unmerged_prs | 130 |
所有权与托管责任
69中等
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 19.2/25 | 所有者影响力 — NVIDIA-Merlin 有 468 位关注者 |
| 19.4/25 | 既往记录 — 15 个公开仓库，账户约 5 年 |
所用输入
| followers | 468 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA-Merlin |
| public_repos | 15 |
| account_age_days | 1,949 |
软件包维护
69中等
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 4/35 | 发布时效 — 最近一次发布于 933 天前 |
| 20/20 | 版本历史 — 17 个已发布版本 |
| 20/20 | 未被弃用 — 活跃，未被弃用或撤回 |
所用输入
| packages | merlin-models |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 933 |
工程质量
基础的工程与文档实践是否到位？
84
工程实践
74良好
评分方式
| 24/24 | CI 工作流 — 23 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 — tox.ini |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard：CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
100优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://nvidia-merlin.github.io/models/main/index.html |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 10 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | deep-learning, machine-learning, pytorch, recommendation-system, recommender-system, tensorflow, dask, gpu, rapidsai, recsys |
| has_wiki | 是 |
| homepage | https://nvidia-merlin.github.io/models/main/index.html |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
52
安全态势
40存在风险
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 0/2.5 | CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — 无数据 |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4 |
已排除计分（无数据或不适用）：branch_protection, packaging。 其余权重已重新归一化。
依赖安全公告
100优秀
评分方式
| 35/35 | 直接依赖不含已知公告 — 没有直接依赖携带已知公告 |
| 0/25 | 间接依赖不含已知公告 — 在此范围内，传递依赖集合无法与开发和测试依赖区分 |
| 0/40 | 没有长期未处理的公告 — 没有公告带有发布日期 |
所用输入
| source | osv |
| advisories | 7 |
| affected_packages | 2 |
| assessed_packages | 13 |
| unassessed_packages | 33 |
| affected_by_severity | critical 1, moderate 1 |
| direct_affected_packages | 0 |
已排除计分（无数据或不适用）：间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 13 个已解析依赖与 OSV 比对。 有 33 项无法评估——没有已解析的版本、生态系统不受支持，或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包，因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起，因此仅对声明的运行时依赖计分；传递性发现仅作为背景信息列出，不计入评分。 未对可达性进行分析。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
55
AI 代理上下文与指引
40存在风险
评分方式
| 0/45 | 代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则 |
| 0/15 | 机器可读文档（llms.txt） |
| 40/40 | 可读的提交历史 — 100 次人类提交中有 95 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.95 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
评分方式
| 18/18 | 一条命令的引导启动 — Makefile, docs/Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 — tox.ini |
| 11/11 | 静态类型检查 — merlin/models/py.typed |
| 0/10 | 可复现环境 |
| 0/10 | 已体现的代理实践 — 最近 100 次提交中没有代理编写的提交 |
| 0/8 | 自动化维护 — 未观察到自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | merlin/models/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
82良好
评分方式
| 27/45 | 可类型检查的代码 — Python，已配置类型检查（merlin/models/py.typed） |
| 54.7/55 | 可控的文件大小 — 采样的 359 个源文件中有 2 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 105,307 |
| source_files_sampled | 359 |
| oversized_source_files | 2 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, notebooks, recipes |
所用输入
| example_dirs | examples, notebooks, recipes |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
301GitHub 星标
25贡献者
0最近 12 个月提交数
817距最近推送天数
18发布版本数
4巴士系数（bus factor）
146开放议题
PyPI软件包生态系统数
数据采集警告
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
更多细节
Star 与 Fork 历史 0 ★ / 56 ⇿
0Star
56Fork
18发布
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
主版本 0次版本 17修订 1
每个点涵盖 5 天。
OpenSSF Scorecard 4.0 / 10
4.0综合
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 0 | CI-Tests | 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 29/30 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 3 contributing companies or organizations -- score normalized to 10 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 不适用 | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
全部依赖 46
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 46 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | attrs | 21.4.0 | 间接 |
| PyPI | black | 20.8b1 | 间接 |
| PyPI | bokeh | — | 间接 |
| PyPI | check-manifest | — | 间接 |
| PyPI | colorlog | — | 间接 |
| PyPI | fiddle | 0.2.2 | 间接 |
| PyPI | flake8 | — | 间接 |
| PyPI | gitpython | — | 间接 |
| PyPI | horovod | — | 间接 |
| PyPI | implicit | — | 间接 |
| PyPI | interrogate | 1.5.0 | 间接 |
| PyPI | ipython | 8.2.0 | 间接 |
| PyPI | isort | — | 间接 |
| PyPI | jinja2 | — | 间接 |
| PyPI | jsonschema | 4.17.3 | 间接 |
| PyPI | jupyter | — | 间接 |
| PyPI | lightfm | — | 间接 |
| PyPI | lightning-utilities | — | 间接 |
| PyPI | linkify-it-py | 1.0.3 | 间接 |
| PyPI | markupsafe | 2.0.1 | 间接 |
| PyPI | merlin-core | — | 间接 |
| PyPI | merlin-dataloader | — | 间接 |
| PyPI | mypy | — | 间接 |
| PyPI | myst-nb | 0.17.2 | 间接 |
| PyPI | natsort | 8.1.0 | 间接 |
| PyPI | nbformat | 5.9.2 | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | nvtabular | — | 间接 |
| PyPI | optuna | — | 间接 |
| PyPI | plotly | — | 间接 |
| PyPI | pytest | — | 间接 |
| PyPI | pytest-cov | — | 间接 |
| PyPI | pytest-xdist | — | 间接 |
| PyPI | pytorch-lightning | — | 间接 |
| PyPI | recommonmark | 0.7.1 | 间接 |
| PyPI | scikit-learn | — | 间接 |
| PyPI | sparse-operation-kit | — | 间接 |
| PyPI | sphinx-book-theme | — | 间接 |
| PyPI | sphinx-external-toc | 0.2.4 | 间接 |
| PyPI | tensorflow | — | 间接 |
| PyPI | testbook | — | 间接 |
| PyPI | torch | — | 间接 |
| PyPI | torchmetrics | — | 间接 |
| PyPI | transformers | — | 间接 |
| PyPI | wandb | — | 间接 |
| PyPI | xgboost | — | 间接 |
依赖安全公告 2
该仓库未发布可被索引解析的包，因此评估的是其自身的依赖图——共 13 个包，其中也包含从不交付的开发与测试版本固定：2 个存在已知公告，0 个为直接依赖。 有 33 个无法评估——没有已解析的版本、生态系统不受支持，或不在所列包清单之内。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| black | 20.8b1 | 间接 | 严重 | 5 | 26.3.1 |
| ipython | 8.2.0 | 间接 | 中 | 2 | 8.10.0 |
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
原始 JSON 报告 机器可读
{
"data": {
"repo": {
"topics": [
"deep-learning",
"machine-learning",
"pytorch",
"recommendation-system",
"recommender-system",
"tensorflow",
"dask",
"gpu",
"rapidsai",
"recsys"
],
"is_fork": false,
"size_kb": 118332,
"has_wiki": true,
"homepage": "https://nvidia-merlin.github.io/models/main/index.html",
"languages": {
"Shell": 3127,
"Python": 2393882,
"Makefile": 4250
},
"pushed_at": "2024-05-04T12:44:50Z",
"created_at": "2021-05-03T18:15:41Z",
"owner_type": "Organization",
"updated_at": "2026-07-19T22:15:20Z",
"description": "Merlin Models is a collection of deep learning recommender system model reference implementations",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": null,
"name": null,
"type": "Organization",
"login": "NVIDIA-Merlin",
"company": null,
"location": null,
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"headline": "Adding ElementWiseSum (#1183)",
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"author_login": "marcromeyn",
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"body": "… right ToTupleModule (#1182)",
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"headline": "Adding ToTuple function that uses the length of the schema to get the…",
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"body": "* Create input_schema and output_schema methods on Block\r\n\r\n* Expose schema functions from merlin.models.torch\r\n\r\n* Rename input/output schema and add to top level torch module\r\n\r\n* Revert input/output schema methods on Block\r\n\r\n* Remove whitespace form torch `__init__.py`\r\n\r\n* Re-format schema.py",
"is_bot": false,
"headline": "Rename Schema Inspection names in the torch schema module (#1179)",
"author_name": "Oliver Holworthy",
"author_login": "oliverholworthy",
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"headline": "Adding validation_step and test_step to Model (#1181)",
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"author_login": "marcromeyn",
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"body": "* add padding op\r\n\r\n* remove unused mask prefix\r\n\r\n* Apply suggestions from code review\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>\r\n\r\n* Add test for tracing the model with torchscript\r\n\r\n* fix linting\r\n\r\n* add module_test to test_padded_targets\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
"is_bot": false,
"headline": "Add padding operator to the PyTorch API (#1177)",
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"author_login": "sararb",
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"is_bot": false,
"headline": "Adding ToTuple (#1178)",
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"author_login": "marcromeyn",
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"body": "* Change default loss in BinaryOutput to BCELoss\r\n\r\n* Some commit\r\n\r\n* Fixing failing tests\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
"is_bot": false,
"headline": "Change default loss in BinaryOutput to BCELoss (#1175)",
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"author_login": "marcromeyn",
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"body": "…eatures (#1169)\n\n* Making retrieval encoders more trustworthy by setting the map_partitions(meta) with the expected output dataframe schema. This fixes the issue when multi-hot features were used in the user / item tower encoding\r\n\r\n* Changing back the schema of music_streaming_data fixture and doing the required changes within test_two_tower_v2_export_item_tower_embeddings_with_seq_item_features",
"is_bot": false,
"headline": "Fixes retrieval encoders when query / item features have dense list f…",
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"body": "* Add DLRM Model\r\n\r\n* make model a class rather a function\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>",
"is_bot": false,
"headline": "Add DLRM Model (#1171)",
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"author_login": "edknv",
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"headline": "Adding CrossBlock (used in DCN-v2) (#1172)",
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"body": "* Removing Link in favour of some new Blocks like: ResidualBlock & ShortcutBlock\r\n\r\n* Removing Link in favour of some new Blocks like: ResidualBlock & ShortcutBlock\r\n\r\n* Add conversion test\r\n\r\n* Some bug fixes + 100% test-coverage for block.py\r\n\r\n* Improve doc-strings\r\n\r\n* Remove un-used isblock again",
"is_bot": false,
"headline": "Remove link, and introduce ShortcutBlock + ResidualBlock (#1170)",
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"author_login": "marcromeyn",
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"body": "* First pass over DLRM-related blocks\r\n\r\n* add a test for dlrm block and fixes to make test pass\r\n\r\n* Add unit tests\r\n\r\n* Initialize default metrics/loss inside ModelOutput instead\r\n\r\n* Update merlin/models/torch/blocks/dlrm.py\r\n\r\nCo-authored-by: Radek Osmulski <rosmulski@gmail.com>\r\n\r\n* fixes and changes for failing tests\r\n\r\n* pass batch to model test\r\n\r\n---------\r\n\r\nCo-authored-by: Marc Romeyn <marcromeyn@gmail.com>\r\nCo-authored-by: Radek Osmulski <rosmulski@gmail.com>",
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"is_bot": false,
"headline": "Replace import of collections.Sequence with collections.abc.Sequence …",
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"is_bot": false,
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"author_login": "oliverholworthy",
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"is_bot": false,
"headline": "We need to remove README after the hyper link. (#1163)",
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"body": "* Initialize default metrics/loss inside ModelOutput instead\r\n\r\n* Trying to change py38 -> py39 in tox.ini to see if that fixes CI\r\n\r\n* Trying to change py38 -> py39 in tox.ini to see if that fixes CI\r\n\r\n* Trying to change py39 -> py310 in tox.ini to see if that fixes CI\r\n\r\n* Update LD_LIBRARY_PATH",
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"author_login": "marcromeyn",
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"is_bot": false,
"headline": "Adding some extra methods to make working with blocks easier (#1154)",
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"author_login": "marcromeyn",
"committed_at": "2023-06-26T11:45:31Z",
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"headline": "Add Encoder & Predictor (#1112)",
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"headline": "Add importorskip for pytorch_lightning to torch tests (#1153)",
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"author_login": "marcromeyn",
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"is_bot": false,
"headline": "Update the pretrained example notebook (#1152)",
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"author_login": "radekosmulski",
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"headline": "Run all tests when CI utils cannot detect changes (#1151)",
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"headline": "add minor edits to the pretrained embeddings transformer example (#1150)",
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"is_bot": false,
"headline": "add session-based example with pretrained embeddings (#1102)",
"author_name": "Radek Osmulski",
"author_login": "radekosmulski",
"committed_at": "2023-06-19T21:45:15Z",
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"body": "* Run tf notebook tests if tf-examples\r\n\r\n* same for gpu tests\r\n\r\n* trigger example tests\r\n\r\n* Same for 'chagned' workflows\r\n\r\n* change marker: example -> examples\r\n\r\n* more example -> examples",
"is_bot": false,
"headline": "Run tests marked with `notebook` marker in examples workflow (#1146)",
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"headline": "Add Model class (#1126)",
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"headline": "fix reloading of transformer model (#1147)",
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"headline": "Rename `prepare_alliccp` to `prepare_aliccp` (#1145)",
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"headline": "Remove `overwrite=True` argument from `df.to_parquet` in aliccp (#1144)",
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"author_login": "oliverholworthy",
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"headline": "Remove dependency in HPO notebook on Categorify implementation detail…",
"author_name": "Radek Osmulski",
"author_login": "radekosmulski",
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"body": "* Update Merlin links to main to stable branch\r\n\r\n* Match only release tags for docs builds\r\n\r\n* Setup local branches for docs multi build\r\n\r\n* Setup docs redirect page to link to stable branch\r\n\r\n* Remove stable reference from docs link in readme (rely on redirect)\r\n\r\n---------\r\n\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
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"headline": "Build docs for stable branch and make default (#1116)",
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"body": "* Fixed docstrings\r\n\r\n* [WIP] add docstrings in mms classes and functions (#1101)\r\n\r\n* add docstings\r\n\r\n* add docstrings\r\n\r\n* Add docstrings (#1106)\r\n\r\n* Add docstrings to Encoder\r\n\r\n* Add docstrings to ItemRetrievalScorer\r\n\r\n* Add docstrings to Model\r\n\r\n* Fix docstring for TwoTowerModel\r\n\r\n* Add do\n[…]\nring syntax\r\n\r\n---------\r\n\r\nCo-authored-by: Gabriel Moreira <gmoreira@nvidia.com>\r\nCo-authored-by: rnyak <16246900+rnyak@users.noreply.github.com>\r\nCo-authored-by: Adam Laiacano <alaiacano@nvidia.com>",
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"body": "* add ragged support in topk block\r\n\r\n* extend candidate embeddings extraction to CategoricalOutput\r\n\r\n* make bias term optional in the weight-tying class\r\n\r\n* add comment about top-k only works for the last item in the session\r\n\r\n---------\r\n\r\nCo-authored-by: rnyak <16246900+rnyak@users.noreply.github.com>\r\nCo-authored-by: edknv <109497216+edknv@users.noreply.github.com>",
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"headline": "Add support of transformer-based retrieval models (#1128)",
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"is_bot": false,
"headline": "asvdb tracking for next item prediction (#1042)",
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"author_login": "radekosmulski",
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"headline": "Run matmul on GPU (#1122)",
"author_name": "Oliver Holworthy",
"author_login": "oliverholworthy",
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"body": "* Skip dependencies in SOK installation\r\n\r\n* change code to trigger horovod tests",
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"headline": "Skip dependencies in SOK installation (#1138)",
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"author_login": "edknv",
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"name": "Contributors",
"detail": "project has 3 contributing companies or organizations -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 13 resolved dependencies against OSV; 33 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 13
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 33
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 7,
"affected_packages": 2,
"assessed_packages": 13,
"unassessed_packages": 33,
"affected_by_severity": "critical 1, moderate 1",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 13,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 8
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 55,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.95,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "95 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 95,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 62,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile",
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"merlin/models/py.typed"
],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile, docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile, docs/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": "tox.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tox.ini"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "merlin/models/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "merlin/models/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 105307,
"source_files_sampled": 359,
"oversized_source_files": 2
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (merlin/models/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "merlin/models/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "2/359 source files over 60KB",
"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 359,
"oversized": 2
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks",
"recipes"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, notebooks, recipes",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks, recipes"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-31T03:13:11.166162Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NVIDIA-Merlin/models.svg",
"full_name": "NVIDIA-Merlin/models",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}