Bronze V
1,373 Elo
- #8,544 on the ladder
- −3 today · −31 this week
- Peak 1,413
Efficiently computes derivatives of NumPy code.
HIPS/autograd is #8,544 on the bestofgithub Elo ladder, in Bronze V, with a rating of 1,373 (−31 this week). It has 7,553 stars.
1,373 Elo
7,553
git clone https://github.com/HIPS/autograd.gitTensors and Dynamic neural networks in Python with strong GPU acceleration
brew install pytorchConvert Machine Learning Code Between Frameworks
git clone https://github.com/unifyai/ivy.gitTrax — Deep Learning with Clear Code and Speed
git clone https://github.com/google/trax.gitComposable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
git clone https://github.com/jax-ml/jax.gitEssential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
git clone https://github.com/kailashahirwar/cheatsheets-ai.gitThe fundamental package for scientific computing with Python.
brew install numpyLoading README…