Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
APACHE-2.0 License
Optax is a gradient processing and optimization library for JAX.
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.sit...
Sparse nonlinear least squares for JAX
Finite difference tools in JAX
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Multiple dispatch over abstract array types in JAX.
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https...
Unofficial implementation of Tensorial Radiance Fields (Chen & Xu ‘22)
Turning SymPy expressions into JAX functions
Turn SymPy expressions into trainable JAX expressions.
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Rigid transforms + Lie groups in JAX