smsharma / minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
☆127Updated 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
- Code for https://arxiv.org/abs/2406.04329☆58Updated 2 months ago
- Flow-matching algorithms in JAX☆83Updated 6 months ago
- Graph neural networks in JAX.☆67Updated 8 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆54Updated 11 months ago
- ☆98Updated 9 months ago
- code for "Riemannian Flow Matching on General Geometries".☆200Updated 11 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆30Updated 2 weeks ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆129Updated 3 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆46Updated 3 weeks ago
- Implementation of Action Matching☆38Updated last year
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated last year
- Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders☆151Updated 3 weeks ago
- ☆127Updated last year
- Code for the paper https://arxiv.org/abs/2402.04997☆68Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆56Updated 5 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 6 months ago
- Diffusion models in PyTorch☆92Updated this week
- Lightning-like training API for JAX with Flax☆38Updated 2 months ago
- Implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆54Updated 2 weeks ago
- Fast protein backbone generation with SE(3) flow matching.☆243Updated 7 months ago
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆46Updated 6 months ago
- This is the official code release for Bayesian Flow Networks.☆266Updated 7 months ago
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆56Updated 8 months ago
- ☆32Updated 8 months ago
- ☆135Updated 11 months ago
- ☆21Updated 4 months ago
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆206Updated 2 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆79Updated 8 months ago
- jax library for E3 Equivariant Neural Networks☆199Updated 3 weeks ago