smsharma / minified-generative-modelsLinks
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
☆136Updated 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"☆122Updated 3 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆104Updated 2 weeks ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆69Updated 7 months ago
- ☆38Updated 4 months ago
- Implementation of Action Matching☆46Updated 2 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆58Updated 3 months ago
- Graph neural networks in JAX.☆68Updated last year
- Flow-matching algorithms in JAX☆106Updated last year
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆21Updated last year
- Diffusion models in PyTorch☆111Updated this week
- This is the official code release for Bayesian Flow Networks.☆300Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆64Updated 6 months ago
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated last year
- Lightning-like training API for JAX with Flax☆44Updated 10 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆38Updated 10 months ago
- ☆125Updated last year
- Code for the paper https://arxiv.org/abs/2402.04997☆96Updated last year
- ☆183Updated last year
- Official implementation of Fisher-Flow Matching (NeurIPS 2024).☆33Updated last year
- Use Jax functions in Pytorch☆253Updated 2 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 7 months ago
- ☆34Updated 2 months ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 3 years ago
- ☆24Updated 10 months ago
- Running Jax in PyTorch Lightning☆113Updated 10 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆51Updated last year