patrick-kidger / diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
☆1,445Updated this week
Related projects ⓘ
Alternatives and complementary repositories for diffrax
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆933Updated 2 months ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,123Updated 2 weeks ago
- Optax is a gradient processing and optimization library for JAX.☆1,699Updated last week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,399Updated 6 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆847Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆332Updated this week
- ☆536Updated 2 months ago
- ☆788Updated this week
- Gaussian processes in JAX.☆461Updated 2 weeks ago
- State Space Models library in JAX☆695Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆360Updated last month
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆526Updated this week
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,346Updated 2 months ago
- JAX - A curated list of resources https://github.com/google/jax☆1,562Updated 4 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,587Updated 5 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆421Updated last year
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,187Updated 3 weeks ago
- Probabilistic Numerics in Python.☆439Updated 6 months ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆445Updated 2 weeks ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆270Updated 2 years ago
- Turn SymPy expressions into trainable JAX expressions.☆322Updated 7 months ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆725Updated last year
- Constrained optimization toolkit for PyTorch☆661Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆702Updated 4 months ago
- A parallel ODE solver for PyTorch☆232Updated last month
- Lagrangian Neural Networks☆465Updated 4 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,297Updated this week
- ☆409Updated last month
- Simulation-based inference toolkit☆591Updated last week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,219Updated this week