plai-group / gsdmLinks
Graphically structured diffusion model.
☆20Updated last year
Alternatives and similar repositories for gsdm
Users that are interested in gsdm are comparing it to the libraries listed below
Sorting:
- ☆34Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆82Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- The Energy Transformer block, in JAX☆57Updated last year
- DISCS: The code base for the Benchmark for Discrete Sampling☆56Updated 9 months ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- ☆34Updated 2 months ago
- ☆29Updated 2 months ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆85Updated 2 years ago
- ☆24Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆21Updated last year
- ☆49Updated 4 years ago
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆12Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 2 months ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- ☆26Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆40Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- ☆32Updated last year
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆42Updated last year
- ☆52Updated last year