Alternatives and similar repositories for minified-generative-models:

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

• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆86Updated 7 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated 9 months ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆97Updated this week
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆55Updated last year
• HannesStark / dirichlet-flow-matching
  ☆102Updated 10 months ago
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆67Updated 3 weeks ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆206Updated last year
• Algomancer / Bayesian-Flow-Networks
  A simple implimentation of Bayesian Flow Networks (BFN)
  ☆240Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆72Updated 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…
  ☆261Updated 3 months ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆30Updated 3 weeks ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆51Updated 2 weeks ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆61Updated last week
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆49Updated 7 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆129Updated 3 years ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆57Updated 10 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆48Updated last week
• maxxxzdn / implicit-steerable-kernels
  Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
  ☆28Updated 3 weeks ago
• necludov / jam
  Implementation of Action Matching
  ☆39Updated last year
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆232Updated last month
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 2 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆47Updated last month
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆47Updated 7 months ago
• malbergo / stochastic-interpolants
  ☆138Updated last year
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆115Updated 4 months ago
• AakashKumarNain / mistral_jax
  This is a port of Mistral-7B model in JAX
  ☆32Updated 8 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆202Updated 2 months ago
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆38Updated 3 months ago