Alternatives and similar repositories for minified-generative-models

Users that are interested in minified-generative-models are comparing it to the libraries listed below

• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆89Updated 2 weeks ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆92Updated 9 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated 11 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆58Updated last year
• probabilists / azula
  Diffusion models in PyTorch
  ☆102Updated 2 months ago
• HannesStark / dirichlet-flow-matching
  ☆109Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆55Updated last month
• lucidrains / gotennet-pytorch
  Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch
  ☆62Updated last month
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆78Updated last year
• malbergo / stochastic-interpolants
  ☆146Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆48Updated last week
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆62Updated 2 months ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆53Updated 3 weeks ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆227Updated last year
• lucidrains / equiformer-pytorch
  Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…
  ☆269Updated 5 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆131Updated 3 years ago
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• cgarciae / simple_flow_matching
  ☆23Updated 5 months ago
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆50Updated 10 months ago
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆102Updated 5 months ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆278Updated 10 months ago
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆88Updated 9 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆246Updated 3 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated 2 months ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆34Updated 3 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆45Updated 2 months ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆66Updated 7 months ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆242Updated last year
• Algomancer / Bayesian-Flow-Networks
  A simple implimentation of Bayesian Flow Networks (BFN)
  ☆240Updated last year