cloudhan / jax-windows-builderLinks
A community supported Windows build for jax.
☆355Updated last year
Alternatives and similar repositories for jax-windows-builder
Users that are interested in jax-windows-builder are comparing it to the libraries listed below
Sorting:
- A parallel ODE solver for PyTorch☆263Updated 10 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆450Updated 3 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆461Updated 2 weeks ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆206Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆983Updated 3 months ago
- Turn SymPy expressions into trainable JAX expressions.☆346Updated 3 months ago
- Newton and Quasi-Newton optimization with PyTorch☆357Updated 2 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆258Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 4 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆449Updated 3 weeks ago
- Gaussian processes in JAX and Flax.☆525Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆283Updated 2 weeks ago
- AutoBound automatically computes upper and lower bounds on functions.☆361Updated last year
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆72Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,714Updated this week
- Lagrangian Neural Networks☆505Updated last year
- Turning SymPy expressions into PyTorch modules.☆148Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆56Updated last week
- Use Jax functions in Pytorch☆248Updated 2 years ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆489Updated last week
- Compositional Linear Algebra☆487Updated this week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 10 months ago
- Run PyTorch in JAX. 🤝☆266Updated 3 weeks ago
- ☆177Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆238Updated last month
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆58Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated this week
- Normalizing flows in PyTorch☆401Updated 2 months ago