ludgerpaehler
Differentiable Programming & Machine Learning
Technical University of MunichSan Francisco, CA
Pinned Repositories
hydrogym
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
llvm-ir-dataset-utils
Utilities for constructing a large dataset of LLVM IR
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
jaxfluids
jaxfluids.
KoopmanRLBenchmarking
Temporary benchmarking repository for KoopmanRL
omp-ad-llvm
OpenMP-level automatic differentiation.
probprog-science
Course material for "Introduction to Probabilistic Programming for Scientific Discovery"
ludgerpaehler's Repositories
ludgerpaehler/dynamicsai-rl-tutorial
fork for RL tutorial
ludgerpaehler/jaxfluids
jaxfluids.
ludgerpaehler/KoopmanRLBenchmarking
Temporary benchmarking repository for KoopmanRL
ludgerpaehler/omp-ad-llvm
OpenMP-level automatic differentiation.
ludgerpaehler/alpa
Auto parallelization for large-scale neural networks
ludgerpaehler/ALPACA
ALPACA: Adaptive Level-set PArallel Code
ludgerpaehler/argoflow
Deploying Kubeflow with Argo CD on production K8s-cluster
ludgerpaehler/beanmachine
A library that allows for inference on probabilistic models
ludgerpaehler/clang-cuda-compile-example
Compilation of the Black-Scholes CUDA Example with the Clang-Toolchain
ludgerpaehler/conda-staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
ludgerpaehler/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
ludgerpaehler/dotfiles
Common dot files to get set up on a new machine
ludgerpaehler/DreamCoder
Functional DreamCoder fork for doing "stuff"
ludgerpaehler/enzyme-conf-website
ludgerpaehler/Enzyme-Pytorch
SIAM CSE Tutorial 2023
ludgerpaehler/Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
ludgerpaehler/EnzymeExamples
Enzyme Examples in C for the SIAM CSE 2023 Tutorial.
ludgerpaehler/GenTL
C++ template library for probabilistic inference and learning based on probabilistic programming
ludgerpaehler/gymnax
RL Environments in JAX 🌍
ludgerpaehler/iree
A retargetable MLIR-based machine learning compiler and runtime toolkit.
ludgerpaehler/llvmlite-plugin-patch
Patch to llvmlite to enable LLVM plugin-loading
ludgerpaehler/LULESH-Fortran
Extension of serial LULESH in Fortran to MPI & OpenMP.
ludgerpaehler/makani
Massively parallel training of machine-learning based weather and climate models
ludgerpaehler/multisource-fortran-enzyme
Compile tests of multi-source FORTRAN AD with the current branch of Flang, and a custom branch of LLVM.
ludgerpaehler/numba
NumPy aware dynamic Python compiler using LLVM
ludgerpaehler/Presentations_Public
Repository of Public Presentations
ludgerpaehler/test
ludgerpaehler/torchdynamo-omp-offload
Test-Repository for PyTorch's Python-level JIT compiler to utilize OpenMP (GPU-) device offloading.
ludgerpaehler/TorchScriptTutorial
Accompanying code for end-to-end TorchScript tutorial
ludgerpaehler/www