ling-pan / GAFNLinks
☆25Updated last year
Alternatives and similar repositories for GAFN
Users that are interested in GAFN are comparing it to the libraries listed below
Sorting:
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆39Updated last year
- ☆27Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- ☆40Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆43Updated 2 years ago
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- ☆35Updated 8 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆28Updated last year
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Updated last year
- Generative Equilibrium Transformer☆26Updated 2 years ago
- NF-Layers for constructing neural functionals.☆92Updated last year
- Inference-Time Alignment in Protein Diffusion Models☆47Updated 10 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated last year
- Neural Diffusion Processes☆81Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- ☆19Updated 2 years ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆55Updated 6 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆147Updated 9 months ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- Benchmarks for Model-Based Optimization☆96Updated last year
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated 2 years ago