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Automatic Differentiation Handbook

advancedhmc.jl

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

builder

Continuous builder and binary build scripts for pytorch

chainer

A flexible framework of neural networks for deep learning

cmdstan-petsc

conda-smithy

The tool for managing conda-forge feedstocks.

cuda.jl

CUDA programming in Julia.

cudnn-feedstock

A conda-smithy repository for cudnn.

cupy

NumPy-like API accelerated with CUDA

fecr

Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS

femmaterials.jl

JuliaFEM bindings to Materials.jl

fenics-pymc3

Differentiable interface to FEniCS for PyMC3

fenics_pymccon2020

PyMCon 2020 Tutorial on using FEniCS with PyMC3

firedrake

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

firedrake-ts

The firedrake-ts library provides an interface to PETSc TS for the scalable solution of DAEs arising from the discretization of time-dependent PDEs.

flux.jl

Relax! Flux is the ML library that doesn't make you tensor

functorch

functorch is JAX-like composable function transforms for PyTorch.

fuser

A Fusion Code Generator for NVIDIA GPUs

gsoc

Numfocus Google Summer of Code Materials

irksome

Solvers for Implicit Runge Kutta methods

ivanyashchuk.github.io

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-fenics

Differentiable interface to FEniCS for JAX

jax-fenics-adjoint

Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint

jax-firedrake

Differentiable interface to Firedrake for JAX

liger-kernel

Efficient Triton Kernels for LLM Training

lightning-thunder

Source to source compiler for PyTorch. It makes PyTorch programs faster on single accelerators and distributed.

mfrontgenericinterfacesupport

This project aims at providing support for MFront generic behaviours. This project can be embedded in open-source and propriary sofware

nb_repo

numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.