Alternatives and similar repositories for pytorch-energy-based-model

Users that are interested in pytorch-energy-based-model are comparing it to the libraries listed below

• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆85Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 5 months ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆128Updated 3 years ago
• saleml / continuous-gfn
  ☆26Updated 2 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆56Updated 2 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆24Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆42Updated last year
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆41Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 2 years ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆53Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆53Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆49Updated last month
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆323Updated 3 weeks ago
• zdhNarsil / Distributional-GFlowNets
  Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
  ☆11Updated last year
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆283Updated this week
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆90Updated 4 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• ruqizhang / discrete-langevin
  ☆36Updated 2 years ago
• ling-pan / GAFN
  ☆24Updated last year
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆46Updated 2 years ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 4 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago