High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Repository Index
47,133 repositories indexed
1–5 of 5 · Most stars
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Maze Applied Reinforcement Learning Framework
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks