unifyai/ivy

• Emerald IV

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

• 1,805−5 Elo, change today
• 36.6k stars
• 4k forks
• 328 watchers
• 15h ago

git clone https://github.com/jax-ml/jax.git

• jax

• Emerald IV

Deep Learning for humans

• 1,782−15 Elo, change today
• 64.4k stars
• 19.8k forks
• 1.8k watchers
• 1d ago

pip install keras

• data-science
• deep-learning
• jax
• machine-learning

• Bronze IV

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

• 1,380−1 Elo, change today
• 9.6k stars
• 409 forks
• 2mo ago

git clone https://github.com/arogozhnikov/einops.git

• cupy
• deep-learning
• einops
• jax

• Emerald I

The fundamental package for scientific computing with Python.

• 1,876−14 Elo, change today
• 33.3k stars
• 13k forks
• 606 watchers
• 3h ago

brew install numpy

• numpy
• python

• Bronze V

Flax is a neural network library for JAX that is designed for flexibility.

• 1,365+9 Elo, change today
• 7.3k stars
• 850 forks
• 2d ago

git clone https://github.com/google/flax.git

• jax

• Bronze V

Trax — Deep Learning with Clear Code and Speed

• 1,371+1 Elo, change today
• 8.3k stars
• 814 forks
• 1y ago
• archived

git clone https://github.com/google/trax.git

• deep-learning
• deep-reinforcement-learning
• jax
• machine-learning