Alternatives and similar repositories for awesome-ebm

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

• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆378Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆118Updated 9 months ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆293Updated last week
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆491Updated last year
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆376Updated last week
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆66Updated 5 years ago
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆147Updated 5 years ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆59Updated 2 years ago
• kilianFatras / awesome-optimal-transport
  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…
  ☆230Updated 4 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆183Updated 3 years ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆290Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆303Updated last year
• ehoogeboom / multinomial_diffusion
  ☆229Updated 2 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆113Updated 2 years ago
• Ending2015a / toy_gradlogp
  Some toy examples of score matching algorithms written in PyTorch
  ☆53Updated 3 years ago
• GFNOrg / gflownet
  Generative Flow Networks
  ☆658Updated 2 years ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆700Updated 2 years ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆482Updated last month
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆150Updated 3 years ago
• ege-erdogan / awesome-weight-space-learning
  Awesome papers on weight-space learning
  ☆33Updated 5 months ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆341Updated last year
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆131Updated 2 years ago
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆290Updated this week
• google-research / vdm
  ☆325Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆183Updated 3 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆267Updated last year