yataobian / awesome-ebmLinks
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
☆356Updated 5 months ago
Alternatives and similar repositories for awesome-ebm
Users that are interested in awesome-ebm are comparing it to the libraries listed below
Sorting:
- A curated list of resources about generative flow networks (GFlowNets).☆501Updated last year
- Neural Tangent Kernel Papers☆120Updated 11 months ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆383Updated last year
- A modular, easy to extend GFlowNet library☆303Updated last week
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆148Updated 6 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Updated 5 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆239Updated 4 years ago
- ☆230Updated 2 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆153Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Some toy examples of score matching algorithms written in PyTorch☆53Updated 4 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆87Updated 2 years ago
- A Tutorial for Diffusion Models☆60Updated 2 years ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆382Updated 3 weeks ago
- Score-based generative models for compact manifolds☆117Updated last year
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆188Updated 4 years ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆292Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Updated 3 years ago
- Papers and Codes for the deep learning in hyperbolic space☆186Updated 3 years ago
- ☆327Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Updated 2 years ago
- This is the official code release for Bayesian Flow Networks.☆307Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆713Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 10 months ago
- A curated list for awesome discrete diffusion models resources.☆518Updated 3 months ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆156Updated 6 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Generative Flow Networks☆663Updated 2 years ago