Alternatives and similar repositories for awesome-ebm

Users that are interested in awesome-ebm are comparing it to the libraries listed below

• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆62Updated 5 years ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆328Updated last week
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆111Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆363Updated last year
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆270Updated this week
• ehoogeboom / multinomial_diffusion
  ☆223Updated 2 years ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆283Updated 11 months ago
• SHI-Yu-Zhe / generative-modeling-explained
  Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
  ☆60Updated 2 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆127Updated 3 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆144Updated 3 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆114Updated 5 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆234Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆83Updated 2 years ago
• malbergo / stochastic-interpolants
  ☆152Updated last year
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆170Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆465Updated 8 months ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆51Updated 3 years ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆127Updated 2 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆508Updated 2 months ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated 10 months ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆55Updated last year
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆84Updated 2 years ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆365Updated 3 years ago
• Johswald / awesome-hypernetworks
  ☆63Updated 3 years ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆177Updated 2 years ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆380Updated 3 weeks ago