alisiahkoohi / Langevin-dynamicsLinks
Sampling with gradient-based Markov Chain Monte Carlo approaches
☆108Updated last year
Alternatives and similar repositories for Langevin-dynamics
Users that are interested in Langevin-dynamics are comparing it to the libraries listed below
Sorting:
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 10 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆36Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆138Updated 3 months ago
- Stochastic Normalizing Flows☆77Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated last month
- ☆51Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆24Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- A simple pytorch implementation of Langevin Monte Carlo algorithms.☆51Updated 5 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆58Updated 2 months ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated this week
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆36Updated 9 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 6 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 5 years ago