> ML_LIBRARIES_CATALOG_v1.0
Qualified ML Libraries
Every library is independently qualified with primary citations, supported version ranges, hardware accelerator separation, and real-world failure patterns.
Optuna
Preferred Networks
The industry-standard Bayesian hyperparameter optimization framework with define-by-run API.
Hyperopt
Hyperopt Community
Pioneering Bayesian hyperparameter optimization library implementing Tree of Parzen Estimators.
auto-sklearn
AutoML Freiburg
Groundbreaking academic automated machine learning framework built on scikit-learn and SMAC.
TPOT
Epistasis Lab / University of Pennsylvania
Genetic programming automated machine learning tool that exports clean, human-readable Python pipelines.
Ludwig
Linux Foundation AI & Data / Predibase / Uber
Declarative, low-code deep learning framework for multimodal AI and LLM fine-tuning via YAML configs.
SHAP
Scott Lundberg / SHAP Community
The industry-standard game-theoretic machine learning explainability and feature attribution framework.
LIME
Marco Tulio Ribeiro / University of Washington
Local Interpretable Model-agnostic Explanations for explaining individual black-box predictions.
Captum
PyTorch Foundation / Meta
Official PyTorch model interpretability library implementing gradient-based attribution algorithms.
InterpretML
Microsoft Research
Microsoft Research toolkit for training glassbox Explainable Boosting Machines and explaining black-box AI.
Fairlearn
Fairlearn Community / NumFOCUS / Microsoft
Community-driven Python library for auditing algorithmic fairness and mitigating demographic disparities.
AI Fairness 360 (AIF360)
Linux Foundation AI & Data / IBM Research
IBM and Linux Foundation AI toolkit providing over 70 fairness metrics and 10 bias mitigation algorithms.
Alibi
Seldon Technologies
Seldon's model inspection library specializing in counterfactual recourse and anchor explanations.
Evidently AI
Evidently AI Inc.
Open-source evaluation, testing, and observability framework for machine learning and LLM applications.
Deepchecks
Deepchecks
Holistic testing and validation framework for tabular data, computer vision, and LLM applications.
whylogs
WhyLabs
Lightweight, privacy-preserving statistical data profiling library powered by Apache DataSketches.
Great Expectations
Superconductive / Great Expectations Community
The industry-standard open-source framework for declarative data pipeline testing and automated validation.
Arize Phoenix
Arize AI
Open-source AI observability, LLM tracing, and RAG evaluation platform built on OpenTelemetry.