#machine-learning

Statistical Machine Intelligence & Learning Engine

Tools for handling multimodal data in machine learning projects.

JSON schemas and examples representing structural data, characteristic properties, modeling workflows and related data about materials standardizing the diverse landscape of information

Bashrs: Rust-to-Shell Transpiler for Deterministic Bootstrap Scripts

Data manipulation and transformation for audio signal processing, powered by PyTorch

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Neural Network primitives with multiple backends

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

A native Rust toolkit for OCR, document layout analysis, and vision-language document understanding.

PixlStash helps you find things in an image library that's gotten out of hand. It imports and tags your images automatically, then lets you search by content or face, sort the keepers from the rubbish, and serve data to other tools (like ComfyUI) with a REST API. Use the desktop version or run it headless as a server.

Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution.

Cloud native, scalable storage engine for various types of energy data.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

ACK service controller for Amazon SageMaker

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

A general classifier module to allow Bayesian and LSI classifications.

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon

Open3D: A Modern Library for 3D Data Processing

Geometric AI governance and evaluation framework with a 14-layer security pipeline, semantic projection, and reproducible benchmark lanes.

Uniform Manifold Approximation and Projection

Extra learners for use in mlr3.

Apache Airflow-compatible workflow orchestrator, re-engineered in Go — the drop-in Airflow UI + REST API, but on a single-binary control plane (no Python GIL), with pod-per-task isolation and GitOps-native DAGs. Self-host on one machine (Lite) or Kubernetes (Pro).

FSRS for Rust, including Optimizer and Scheduler

Deep universal probabilistic programming with Python and PyTorch

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

MoleculeKit: Your favorite molecule manipulation kit

Modular and user-friendly platform for AI-assisted rescoring of peptide identifications

21st century AD