atong01 / conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
☆1,410Updated 2 weeks ago
Alternatives and similar repositories for conditional-flow-matching:
Users that are interested in conditional-flow-matching are comparing it to the libraries listed below
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆1,774Updated 2 weeks ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,545Updated 2 years ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,485Updated 10 months ago
- A summary of related works about flow matching, stochastic interpolants☆371Updated 5 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,807Updated 6 months ago
- Official Implementation of Rectified Flow (ICLR2023 Spotlight)☆1,057Updated 5 months ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆654Updated 2 years ago
- PyTorch implementation of normalizing flow models☆768Updated 4 months ago
- EDM2 and Autoguidance -- Official PyTorch implementation☆610Updated last month
- Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.☆699Updated last year
- Awesome resources on normalizing flows.☆1,473Updated last week
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,234Updated 3 months ago
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆696Updated 8 months ago
- Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)☆858Updated last year
- Denoising Diffusion Implicit Models☆1,531Updated 5 months ago
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆683Updated 2 years ago
- A mini-library for training consistency models.☆234Updated last year
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆454Updated 10 months ago
- code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"☆684Updated last month
- "Deep Generative Modeling": Introductory Examples☆1,109Updated 3 months ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆548Updated last month
- Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"☆742Updated 10 months ago
- Annotated Flow Matching paper☆157Updated 4 months ago
- Vector (and Scalar) Quantization, in Pytorch☆2,824Updated last week
- Self-contained, minimalistic implementation of diffusion models with Pytorch.☆906Updated 2 years ago
- Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embed…☆393Updated 3 months ago
- Creating a diffusion model from scratch in PyTorch to learn exactly how they work.☆342Updated 8 months ago
- This is the official code release for Bayesian Flow Networks.☆262Updated 5 months ago
- ☆258Updated 3 months ago
- Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"☆456Updated last year