Tikquuss / GflowNets_TutorialLinks
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
☆86Updated 2 years ago
Alternatives and similar repositories for GflowNets_Tutorial
Users that are interested in GflowNets_Tutorial are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆44Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆87Updated 2 years ago
- ☆19Updated 2 years ago
- ☆36Updated 9 months ago
- ☆28Updated 2 years ago
- Benchmarks for Model-Based Optimization☆96Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆41Updated last year
- 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 modular, easy to extend GFlowNet library☆303Updated this week
- ☆25Updated last year
- Baselines for Model-Based Optimization☆55Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- ☆18Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Implementation of Action Matching☆49Updated 2 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆64Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Updated 2 years ago
- Neural Diffusion Processes☆81Updated last year
- ☆44Updated 3 years ago
- ☆14Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆40Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- ☆33Updated 3 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆27Updated last year
- ☆21Updated 11 months ago