ludgerpaehler

dynamicsai-rl-tutorial

fork for RL tutorial

jaxfluids

jaxfluids.

KoopmanRLBenchmarking

Temporary benchmarking repository for KoopmanRL

omp-ad-llvm

OpenMP-level automatic differentiation.

alpa

Auto parallelization for large-scale neural networks

ALPACA

ALPACA: Adaptive Level-set PArallel Code

argoflow

Deploying Kubeflow with Argo CD on production K8s-cluster

beanmachine

A library that allows for inference on probabilistic models

clang-cuda-compile-example

Compilation of the Black-Scholes CUDA Example with the Clang-Toolchain

conda-staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dotfiles

Common dot files to get set up on a new machine

DreamCoder

Functional DreamCoder fork for doing "stuff"

enzyme-conf-website

Enzyme-Pytorch

SIAM CSE Tutorial 2023

Enzyme.jl

Julia bindings for the Enzyme automatic differentiator

EnzymeExamples

Enzyme Examples in C for the SIAM CSE 2023 Tutorial.

GenTL

C++ template library for probabilistic inference and learning based on probabilistic programming

googletest

GoogleTest - Google Testing and Mocking Framework

gymnax

RL Environments in JAX 🌍

iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.

llvmlite-plugin-patch

Patch to llvmlite to enable LLVM plugin-loading

LULESH-Fortran

Extension of serial LULESH in Fortran to MPI & OpenMP.

makani

Massively parallel training of machine-learning based weather and climate models

multisource-fortran-enzyme

Compile tests of multi-source FORTRAN AD with the current branch of Flang, and a custom branch of LLVM.

numba

NumPy aware dynamic Python compiler using LLVM

Presentations_Public

Repository of Public Presentations

torchdynamo-omp-offload

Test-Repository for PyTorch's Python-level JIT compiler to utilize OpenMP (GPU-) device offloading.

TorchScriptTutorial

Accompanying code for end-to-end TorchScript tutorial

www