Alternatives and similar repositories for dgm-resources:

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

• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆50Updated 2 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆140Updated last year
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆77Updated 8 months ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆61Updated 4 years ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆54Updated 4 months ago
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆126Updated last year
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆120Updated 6 years ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆82Updated 5 months ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆133Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 5 months ago
• malbergo / stochastic-interpolants
  ☆121Updated 11 months ago
• autonomousvision / akorn
  Artificial Kuramoto Oscillatory Neurons
  ☆45Updated this week
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆51Updated 9 months ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆198Updated this week
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆53Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆76Updated 5 months ago
• DoronHav / WassersteinFlowMatching
  ☆18Updated last month
• Zhangyanbo / MLP-KAN
  Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)
  ☆102Updated 2 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated last year
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆73Updated this week
• google-deepmind / md4
  Code for https://arxiv.org/abs/2406.04329
  ☆51Updated last month
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆50Updated 5 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆20Updated 9 months ago
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆65Updated last year
• jmtomczak / vae_kan_example
  A simple example of VAEs with KANs
  ☆12Updated 8 months ago
• gle-bellier / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆71Updated 4 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆76Updated 5 months ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆84Updated last year
• saleml / continuous-gfn
  ☆23Updated last year
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆42Updated last year