Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
☆87Feb 22, 2023Updated 3 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:
- ☆19May 11, 2023Updated 2 years ago
- Generative Flow Networks☆670Feb 28, 2023Updated 3 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- ☆17Mar 2, 2023Updated 2 years ago
- GFlowNet library specialized for graph & molecular data☆283Jun 6, 2025Updated 8 months ago
- Code for the paper "Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning"☆11May 5, 2021Updated 4 years ago
- ☆18Sep 27, 2023Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆42Feb 9, 2024Updated 2 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆77Mar 17, 2023Updated 2 years ago
- A modular, easy to extend GFlowNet library☆306Feb 21, 2026Updated last week
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆24Feb 27, 2025Updated last year
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Jul 24, 2022Updated 3 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago
- [ICLR 2022] Path integral sampler☆52Aug 21, 2023Updated 2 years ago
- ☆25Mar 26, 2024Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆96Mar 28, 2022Updated 3 years ago
- Reading list for research topics in Diffusion models.☆18Jan 12, 2024Updated 2 years ago
- ☆42Sep 20, 2022Updated 3 years ago
- A curated list of resources about generative flow networks (GFlowNets).☆504Oct 1, 2024Updated last year
- ☆10Feb 22, 2023Updated 3 years ago
- source code for NAACL2022 main conference "Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs"☆10Sep 26, 2022Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- Recursive Bayesian Networks☆11May 11, 2025Updated 9 months ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 4 years ago
- ☆12May 31, 2021Updated 4 years ago
- ☆14Feb 1, 2024Updated 2 years ago
- ☆12Dec 13, 2022Updated 3 years ago
- [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling☆67Jun 16, 2022Updated 3 years ago
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆14Dec 11, 2021Updated 4 years ago
- Easy trees in LaTeX and TikZ☆14Dec 16, 2022Updated 3 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Feb 15, 2023Updated 3 years ago
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆22Sep 7, 2023Updated 2 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27May 3, 2021Updated 4 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆46Dec 9, 2024Updated last year
- ☆11Jun 12, 2021Updated 4 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Oct 22, 2024Updated last year
- Official implementation of Transformer Neural Processes☆79Aug 21, 2022Updated 3 years ago
- Differentiable Perturb-and-Parse operator☆25Mar 7, 2019Updated 6 years ago