GFNOrg / EB_GFNLinks
Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
☆87Updated 2 years ago
Alternatives and similar repositories for EB_GFN
Users that are interested in EB_GFN are comparing it to the libraries listed below
Sorting:
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆58Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆94Updated 3 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆44Updated 2 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆69Updated 3 years ago
- ☆28Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- ☆19Updated 2 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- ☆42Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- A modular, easy to extend GFlowNet library☆303Updated this week
- ☆36Updated 9 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- ☆25Updated last year
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆64Updated last year
- Transformers with doubly stochastic attention☆51Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 10 months ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- Generative Flow Networks - GFlowNet☆307Updated this week
- Benchmarks for Model-Based Optimization☆96Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- ☆54Updated last year