google-deepmind / torax
TORAX: Tokamak transport simulation in JAX
☆390Updated this week
Alternatives and similar repositories for torax:
Users that are interested in torax are comparing it to the libraries listed below
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆257Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆407Updated last week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆259Updated last week
- Orbax provides common checkpointing and persistence utilities for JAX users☆330Updated this week
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆457Updated last week
- ☆204Updated 6 months ago
- Run PyTorch in JAX. 🤝☆216Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆370Updated last week
- ☆114Updated this week
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆141Updated last month
- Multiple dispatch over abstract array types in JAX.☆114Updated this week
- JAX-Toolbox☆279Updated this week
- AutoBound automatically computes upper and lower bounds on functions.☆358Updated 7 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆124Updated 4 months ago
- Interpolation and function approximation with JAX☆148Updated this week
- A JAX research toolkit for building, editing, and visualizing neural networks.☆1,723Updated last month
- Computational Fluid Dynamics in JAX☆785Updated 5 months ago
- A Jax-based library for designing and training transformer models from scratch.☆280Updated 5 months ago
- Library for reading and processing ML training data.☆371Updated this week
- Running Jax in PyTorch Lightning☆86Updated last month
- Turn SymPy expressions into trainable JAX expressions.☆327Updated last week
- ☆239Updated 4 months ago
- ☆812Updated 2 weeks ago
- ☆150Updated 2 months ago
- Differentiable Fluid Dynamics Package☆361Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆943Updated 4 months ago
- JAX Arrays for human consumption☆90Updated last year
- Extending JAX with custom C++ and CUDA code☆383Updated 5 months ago
- Optax is a gradient processing and optimization library for JAX.☆1,776Updated this week
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,219Updated 2 months ago