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
  ☆67Updated 3 years ago
• ling-pan / GAFN
  ☆25Updated last year
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 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
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆63Updated last year
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆68Updated 5 years ago
• igul222 / plaid
  ☆108Updated 2 years ago
• gregorbachmann / Next-Token-Failures
  ☆106Updated last year
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• Johswald / awesome-hypernetworks
  ☆66Updated 4 years ago
• sajadn / posterior-collapse-list
  A curated list of techniques to avoid posterior collapse
  ☆85Updated 2 years ago
• IdoAmos / not-from-scratch
  ☆33Updated last year
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆13Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• kylehkhsu / latent_quantization
  ☆42Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• thjashin / rodeo
  Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)
  ☆17Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆352Updated 5 months ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• kvfrans / jax-vqvae-vqgan
  JAX implementation of VQVAE/VQGAN autoencoders (+FSQ)
  ☆40Updated last year
• bergen / EdgeTransformer
  ☆22Updated 4 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆62Updated 2 years ago
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆13Updated 4 years ago
• weigq / openview_quicklook
  ☆35Updated 9 months ago
• brianlck / FlexMDM
  ☆33Updated 3 months ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆86Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• radarFudan / mamba-minimal-jax
  ☆35Updated last year
• Awni00 / abstractor
  This is the code repository associated with the paper "Abstractors and relational cross-attention: An inductive bias for explicit relati…
  ☆21Updated last year