wgrathwohl / GWG_release
Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
☆54Updated last year
Alternatives and similar repositories for GWG_release:
Users that are interested in GWG_release are comparing it to the libraries listed below
- ☆34Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆20Updated last year
- Implementation of Action Matching☆40Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆38Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- ☆50Updated 2 years ago
- ☆53Updated 8 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- ☆19Updated last month
- DISCS: The code base for the Benchmark for Discrete Sampling☆54Updated 7 months ago
- Benchmarks for Model-Based Optimization☆91Updated 11 months ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- ☆64Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆49Updated last month
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated 8 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆15Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago