Tikquuss / GflowNets_Tutorial
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
☆85Updated 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
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- ☆15Updated last year
- ☆24Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆85Updated 3 years ago
- A modular, easy to extend GFlowNet library☆259Updated this week
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆24Updated 2 weeks ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆20Updated last year
- DISCS: The code base for the Benchmark for Discrete Sampling☆53Updated 7 months ago
- Benchmarks for Model-Based Optimization☆91Updated 11 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆47Updated last month
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Implementation of Action Matching☆40Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- ☆12Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆44Updated 3 weeks ago
- Score-based generative models for compact manifolds☆108Updated last year
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Baselines for Model-Based Optimization☆52Updated 3 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆24Updated last year
- Neural Diffusion Processes☆77Updated 7 months ago
- Simple illustrative examples for energy-based models in PyTorch☆62Updated 5 years ago
- ☆32Updated 10 months ago
- Euclidean Wasserstein-2 optimal transportation☆46Updated last year