Alternatives and similar repositories for dgm-resources:

Users that are interested in dgm-resources are comparing it to the libraries listed below

• eje24 / iap-diffusion-labs
  Labs for MIT 6.S184/6.S975, IAP 2025
  ☆70Updated this week
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆152Updated last year
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆134Updated 6 years ago
• AaronHavens / FlowMatching
  A repo where I play with conditional flow approaches for learning time-varying vector-fields.
  ☆18Updated 11 months ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆51Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆90Updated 8 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆79Updated 9 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆77Updated 9 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• SHI-Yu-Zhe / generative-modeling-explained
  Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
  ☆59Updated 2 years ago
• lebellig / flow-matching
  Annotated Flow Matching paper
  ☆183Updated 7 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆61Updated last month
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆46Updated 2 months ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆63Updated 6 months ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆188Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆177Updated 2 years ago
• kyg0910 / -STT997-Deep-Generative-Model
  ☆34Updated last month
• SHI-Labs / CompactNet
  ☆31Updated last year
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆312Updated 3 months ago
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆59Updated 6 months ago
• KAIST-Visual-AI-Group / Diffusion-Assignment1-DDPM
  ☆29Updated 3 months ago
• TariqAHassan / S4Torch
  PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
  ☆80Updated last year
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated 11 months ago
• 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
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆146Updated 3 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆123Updated last year
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆93Updated 11 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆47Updated last year
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆22Updated 2 years ago