smsharma / minified-generative-modelsLinks
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
☆130Updated last year
Alternatives and similar repositories for minified-generative-models
Users that are interested in minified-generative-models are comparing it to the libraries listed below
Sorting:
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆89Updated 2 weeks ago
- Flow-matching algorithms in JAX☆92Updated 9 months ago
- Graph neural networks in JAX.☆67Updated 11 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆58Updated last year
- Diffusion models in PyTorch☆102Updated 2 months ago
- ☆109Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆55Updated last month
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆62Updated last month
- Code for the paper https://arxiv.org/abs/2402.04997☆78Updated last year
- ☆146Updated last year
- Collecting research materials on neural samplers with diffusion/flow models☆48Updated last week
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 2 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆53Updated 3 weeks ago
- code for "Riemannian Flow Matching on General Geometries".☆227Updated last year
- 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
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- Implementation of Action Matching☆44Updated 2 years ago
- ☆23Updated 5 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 10 months ago
- Running Jax in PyTorch Lightning☆102Updated 5 months ago
- This is the official code release for Bayesian Flow Networks.☆278Updated 10 months ago
- Educational implementation of the Discrete Flow Matching paper☆88Updated 9 months ago
- Run PyTorch in JAX. 🤝☆246Updated 3 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆49Updated 2 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆34Updated 3 months ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- The Superposition of Diffusion Models Using the Itô Density Estimator☆45Updated 2 months ago
- Code repository for Trajectory Flow Matching☆66Updated 7 months ago
- Use Jax functions in Pytorch☆242Updated last year
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated last year