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7 search results found
Awesome Machine Learning Interpretability
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3,241
A curated list of awesome responsible machine learning resources.
Giskard
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2,509
🐢 The testing framework for ML models, from tabular to LLMs
Awesome Ai Safety
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64
A curated list of papers & technical articles on AI Quality & Safety 📚
Entropic Out Of Distribution Detection
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47
Add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
Distinction Maximization Loss
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34
Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
Ai Principles
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26
Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario
La Mbda
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16
LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
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