jax

Package — Deep LearningPython 3.7+Advanced

High-performance numerical computing with auto-differentiation by Google

Quick Info

Documentation
Official Docs
Python Version
3.7+
Dependencies
NumPy, SciPy, opt-einsum, ml-dtypes
Install
pip install jax[cpu] # or jax[cuda12]

Learn by Difficulty

Easy2 examples
Examples|Playground
Intermediate1 example
Examples|Playground
Advanced1 example
Examples|Playground
Expert1 example
Examples|Playground

Quick Example

python
# Install: pip install jax[cpu]  # or jax[cuda12]
import jax

# Basic jax usage
print(f"Using jax")
# See documentation for detailed examples

jax is a third-party package. High-performance numerical computing with auto-differentiation by Google. Install with: pip install jax[cpu] # or jax[cuda12]

Try in Playground

Tags

packagedeep-learningneural-networkaigpu