andylolu2 / jax-diffusion
Implementation of Denoising Diffusion Probabilistic Models (DDPM) in JAX and Flax.
☆17Updated last year
Alternatives and similar repositories for jax-diffusion:
Users that are interested in jax-diffusion are comparing it to the libraries listed below
- Lightning-like training API for JAX with Flax☆36Updated last month
- Flow-matching algorithms in JAX☆82Updated 5 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆82Updated 11 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆48Updated 5 months ago
- Code release for "Stochastic Optimal Control Matching"☆30Updated 5 months ago
- ☆31Updated last month
- Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising"☆35Updated 2 months ago
- Code for https://arxiv.org/abs/2406.04329☆51Updated last month
- Pytorch-like dataloaders in JAX.☆67Updated 3 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆56Updated 4 months ago
- Implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆53Updated last week
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆40Updated this week
- Visualizations of the theory behind diffusion models.☆77Updated 9 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆53Updated 10 months ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆157Updated last year
- ☆23Updated 9 months ago
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆36Updated 3 months ago
- Implementation of DreamerV3 in Pytorch☆42Updated 2 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 7 months ago
- Code repository for Trajectory Flow Matching☆50Updated 2 months ago
- Neural Optimal Transport with Lagrangian Costs☆50Updated 6 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆44Updated last year
- LoRA for arbitrary JAX models and functions☆135Updated 10 months ago
- ☆49Updated 7 months ago
- Use Jax functions in Pytorch☆231Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- ☆31Updated 7 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆22Updated last year
- ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC☆136Updated 3 months ago
- My take on Flow Matching☆31Updated last week