Alternatives and similar repositories for variational-diffusion

Users that are interested in variational-diffusion are comparing it to the libraries listed below

• ruiqigao / recovery_likelihood
  ☆53Updated 4 years ago
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆30Updated 2 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• ZibinDong / diffusion_models_minimal_tutorial
  ☆26Updated last year
• kylehkhsu / latent_quantization
  ☆44Updated 2 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated 2 years ago
• yuPeiyu98 / Diffusion-Amortized-MCMC
  [NeurIPS 2023] Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
  ☆13Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆82Updated last year
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 3 years ago
• facebookresearch / denoised_mdp
  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
  ☆136Updated 2 years ago
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆25Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• GFNOrg / diffusion-finetuning
  ☆44Updated last year
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆68Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• singhgautam / steve
  Official code for Slot-Transformer for Videos (STEVE)
  ☆50Updated 3 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆16Updated 4 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆105Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year
• hankook / CLEL
  ☆17Updated 2 years ago
• kennyderek / adap
  Adaptable Agent Populations via a Generative Model of Policies
  ☆12Updated 4 years ago
• ZehaoDou-official / FPS-SMC-2023
  Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Fi…
  ☆50Updated last year
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆64Updated 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
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated last month
• ChenDRAG / CEP-energy-guided-diffusion
  Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）
  ☆50Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆93Updated 2 years ago