Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
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6.9KGitHub
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Results · “dive-into-deep-learning”
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Angel
Angel-ML
A Flexible and Powerful Parameter Server for large-scale machine learning
Ml AutomationReview before use
6.8KGitHub
Causalml
uber
Uplift modeling and causal inference with machine learning algorithms
Ml AutomationReview before use
5.9KGitHub
5.8KGitHub
5.6KGitHub
5.2KGitHub
5.2KGitHub
Mlxtend
rasbt
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Ml AutomationReview before use
5.2KGitHub
Jetson Containers
dusty-nv
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Ml AutomationReview before use
4.7KGitHub
4.7KGitHub
EconML
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
Ml AutomationReview before use
4.7KGitHub
Iree
iree-org
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Ml AutomationReview before use
3.8KGitHub
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationReview before use
3.7KGitHub
Rl
pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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3.5KGitHub
2.6KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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3.2KGitHub
External platform skills
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