Ludwig Winkler's repositories
JaxLightning
Running Jax in PyTorch Lightning
pytorch_MCMC
Lightweight MCMC sampling for PyTorch Models aka My Corona Project
pytorch_ProbabilisticLayers
Bayesian Neural Networks with Parallelized Sampling of LogLikelihood
EhrenfestDiffusion
Transfer Learning between Discrete and Continuous Diffusion Model
hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC)
ludwigwinkler.github.io
Ludwig Winklers Github.io
BayesianOptimization
Bayesian Optimization with Gaussian Processes
diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
IBExperiments
Reinforcement Learning in Highly Stochastic Environment with the Industrial Benchmark Environment
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
offshoreleaks-data-packages
Tools to produce and share the downloadable Neo4j packages and guides
pytorch-fid
Compute FID scores with PyTorch.
pytorch-mcmc
Little Markov Chain Monte Carlo library built on PyTorch
riemannian-score-sde
Score-based generative models for compact manifolds
score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
simple-diffusion-model
Pedagogical codebase for a simplified score-based generative model design, with training loop
SimpleParsing
Simple, Elegant, Typed Argument Parsing with argparse
SinkhornAutoDiff
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)
torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
torchSO3diffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
wassdistance
Approximating Wasserstein distances with PyTorch