plai-group / gsdmLinks
Graphically structured diffusion model.
☆21Updated 2 years ago
Alternatives and similar repositories for gsdm
Users that are interested in gsdm are comparing it to the libraries listed below
Sorting:
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆85Updated 2 years ago
- The Energy Transformer block, in JAX☆62Updated last year
- ☆31Updated 8 months ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆57Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- ☆41Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆70Updated 8 months ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 years ago
- NF-Layers for constructing neural functionals.☆91Updated last year
- ☆24Updated 5 years ago
- ☆25Updated last year
- ☆34Updated 2 years ago
- ☆53Updated 2 years ago
- ☆53Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- ☆35Updated 8 months ago
- ☆22Updated 4 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- Scalable training and inference for Probabilistic Circuits☆88Updated last week
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- ☆31Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated 2 months ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago