tanelp / tiny-diffusionLinks
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
☆965Updated last year
Alternatives and similar repositories for tiny-diffusion
Users that are interested in tiny-diffusion are comparing it to the libraries listed below
Sorting:
- Simple and readable code for training and sampling from diffusion models☆667Updated 5 months ago
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆1,129Updated 3 years ago
- Official implementation of Cold-Diffusion for different transformations in pytorch.☆1,108Updated 3 years ago
- Tensors, for human consumption☆1,329Updated 2 weeks ago
- Interactive visualizations of the geometric intuition behind diffusion models.☆903Updated 5 months ago
- A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)☆303Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆711Updated 3 years ago
- Implementation of Diffusion Transformer (DiT) in JAX☆297Updated last year
- Minimal implementation of scalable rectified flow transformers, based on SD3's approach☆620Updated last year
- TorchCFM: a Conditional Flow Matching library☆2,158Updated 3 weeks ago
- Diffusion Reading Group at EleutherAI☆324Updated 2 years ago
- DiffusionFastForward: a free course and experimental framework for diffusion-based generative models☆673Updated 2 years ago
- Code for our NeurIPS 2022 paper☆370Updated 2 years ago
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated last year
- Schedule-Free Optimization in PyTorch☆2,237Updated 6 months ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,770Updated 3 years ago
- Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"☆380Updated 2 years ago
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆3,801Updated 2 months ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,846Updated last year
- ☆788Updated 2 weeks ago
- "Deep Generative Modeling": Introductory Examples☆1,269Updated 3 months ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆627Updated last year
- Creating a diffusion model from scratch in PyTorch to learn exactly how they work.☆387Updated 8 months ago
- TensorDict is a pytorch dedicated tensor container.☆988Updated last week
- ☆328Updated 3 years ago
- Official implementation of VQ-Diffusion☆968Updated last year
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆500Updated 2 years ago
- For optimization algorithm research and development.☆547Updated 2 weeks ago
- Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)☆1,293Updated 11 months ago
- Annotated version of the Mamba paper☆491Updated last year