Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
APACHE-2.0 License
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
General Modules for JAX
Sparse nonlinear least squares for JAX
JAX-based neural network library
Multiple dispatch over abstract array types in JAX.
Flax is a neural network library for JAX that is designed for flexibility.
Optax is a gradient processing and optimization library for JAX.
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....
Turn SymPy expressions into trainable JAX expressions.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https...
Rigid transforms + Lie groups in JAX