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#hyperparameter-tuning

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

5 records
Tagged “hyperparameter-tuning”Ranked by health index
PyPI · Go · crates.io
100Exceptionalhealth index
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Python · Go★ 11.2K↓ 26.6M/moAug 27, 2026
MITAug 27, 2026 · metrics 2.10.0
PyPI · Go
95Exceptionalhealth index
skypilot-org/skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Python★ 10.5K↓ 2M/moAug 26, 2026
Apache-2.0Aug 26, 2026 · metrics 2.10.0
PyPI
93Exceptionalhealth index
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Python★ 938↓ 1,021/moJul 20, 2026
Apache-2.0Jul 20, 2026 · metrics 2.10.0
PyPI
80Excellenthealth index
GiacomoSaccaggi/scomp_link
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+.
Python★ 2↓ 2,313/moJul 16, 2026
MITJul 16, 2026 · metrics 2.10.0
PyPI
34At Riskhealth index
alteryx/evalml
EvalML is an AutoML library written in python.
Python★ 852↓ 9,780/moAug 24, 2026
BSD-3-ClauseAug 24, 2026 · metrics 2.10.0