An Agent-Environment interface with Jax transformation compatibility
MIT License
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https...
Multiple dispatch over abstract array types in JAX.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
JAX + Units
An API standard for multi-agent reinforcement learning environments, with popular reference envir...
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.sit...
Pytrees + dataclasses ❤️
A library of reinforcement learning components and agents
Reinforcement Learning in PyTorch
Rigid transforms + Lie groups in JAX
JAX-based neural network library
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Turn SymPy expressions into trainable JAX expressions.