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SFINCS: the Stellarator Fokker-Planck Iterative Neoclassical Conservative Solver
Serial VMEC for educational purposes (e.g. understanding the algorithms etc.)
Interpolation and function approximation with JAX
Playing Pokemon Red with Reinforcement Learning
High-Performance Symbolic Regression in Python and Julia
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
A list of manuscripts/tools using diffusion on biological enttieis
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
AutoBound automatically computes upper and lower bounds on functions.
A playbook for systematically maximizing the performance of deep learning models.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PyTorch implementation of Neural Netowrk Differential Equation Plasma Equilibrium Solver.
Convert Machine Learning Code Between Frameworks
Model interpretability and understanding for PyTorch
Stellarator Equilibrium and Optimization Suite
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.