plai-group / gsdmLinks
Graphically structured diffusion model.
☆20Updated 2 years ago
Alternatives and similar repositories for gsdm
Users that are interested in gsdm are comparing it to the libraries listed below
Sorting:
- ☆39Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- The Energy Transformer block, in JAX☆58Updated last year
- ☆32Updated 6 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆90Updated 3 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆62Updated last year
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆66Updated 3 years ago
- ☆24Updated 4 years ago
- Scalable training and inference for Probabilistic Circuits☆79Updated this week
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 4 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆68Updated 7 months ago
- ☆34Updated 2 years ago
- ☆53Updated 2 years ago
- Squared Non-monotonic Probabilistic Circuits☆23Updated 9 months ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- ☆52Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆247Updated 2 weeks ago
- ☆50Updated 4 years ago
- ☆33Updated 6 months ago
- ☆71Updated 10 months ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆16Updated 8 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago