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Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
A repository for quantum chemistry basis sets
A Python package for probabilistic state space modeling with JAX
Interpolation and function approximation with JAX
Thermodynamic Hypergraphical Model Library in JAX
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework
Unofficial reference for the NHL API endpoints.
A curated list of awesome high performance computing resources
Automatic differentiation tools for interfacing custom density functionals with libXC.
For when people get too hyped up about things
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites
A generative model for programmable protein design
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
Cataclysm - Code generation library for the end game
A JIT compiler for hybrid quantum programs in PennyLane
Implementation for SE(3) diffusion model with application to protein backbone generation
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Development repository for the Triton language and compiler
A massively parallel, optimal functional runtime in Rust