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

• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 3 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated last month
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆82Updated 2 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆126Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆74Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆291Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆49Updated last year
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆46Updated 2 years ago
• Johswald / awesome-hypernetworks
  ☆62Updated 3 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆42Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆85Updated 3 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆85Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆143Updated 3 years ago
• ruqizhang / discrete-langevin
  ☆34Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• zdhNarsil / Distributional-GFlowNets
  Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".
  ☆10Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆53Updated 3 years ago
• ermongroup / f-EBM
  Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020
  ☆36Updated 2 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆21Updated last year
• saleml / continuous-gfn
  ☆24Updated last year
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆112Updated 3 years ago
• GFNOrg / gfn-diffusion
  ☆28Updated 3 weeks ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 9 months ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago