Alternatives and similar repositories for generative-modeling-explained

Users that are interested in generative-modeling-explained are comparing it to the libraries listed below

• yuPeiyu98 / Latent-Diffusion-EBM
  [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
  ☆66Updated 3 years ago
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆47Updated 2 years ago
• ling-pan / GAFN
  ☆24Updated 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.
  ☆42Updated last year
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆63Updated 10 months ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆66Updated 5 years ago
• igul222 / plaid
  ☆106Updated 2 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆37Updated last year
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆334Updated last month
• radarFudan / mamba-minimal-jax
  ☆31Updated 9 months ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated last year
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• yilundu / ired_code_release
  ☆69Updated last year
• GFNOrg / diffusion-finetuning
  ☆33Updated last year
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• IdoAmos / not-from-scratch
  ☆33Updated 10 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆65Updated 5 months ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆123Updated 6 months ago
• ruqizhang / discrete-langevin
  ☆36Updated 2 years ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆87Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆88Updated last year
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆24Updated last year
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆50Updated 2 years ago
• weigq / openview_quicklook
  ☆34Updated 5 months ago
• HKUNLP / reparam-discrete-diffusion
  Reparameterized Discrete Diffusion Models for Text Generation
  ☆100Updated 2 years ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆57Updated 2 years ago