atong01 / conditional-flow-matchingLinks
TorchCFM: a Conditional Flow Matching library
☆1,932Updated last month
Alternatives and similar repositories for conditional-flow-matching
Users that are interested in conditional-flow-matching are comparing it to the libraries listed below
Sorting:
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes …☆3,257Updated 3 months ago
- Official Implementation of Rectified Flow (ICLR2023 Spotlight)☆1,385Updated last year
- A summary of related works about flow matching, stochastic interpolants☆541Updated 5 months ago
- Elucidating the Design Space of Diffusion-Based Generative Models (EDM)☆1,751Updated last year
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,987Updated last year
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,717Updated 2 years ago
- PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838☆1,711Updated 11 months ago
- Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.☆788Updated last year
- ☆612Updated 8 months ago
- EDM2 and Autoguidance -- Official PyTorch implementation☆756Updated 8 months ago
- Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"☆946Updated last year
- PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437☆1,154Updated 6 months ago
- [ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think☆1,268Updated 5 months ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆697Updated 2 years ago
- Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.☆728Updated last month
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆801Updated 2 years ago
- code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"☆986Updated 4 months ago
- PyTorch implementation of normalizing flow models☆871Updated last year
- Implementation of rectified flow and some of its followup research / improvements in Pytorch☆366Updated 2 weeks ago
- Denoising Diffusion Implicit Models☆1,692Updated last year
- Vector (and Scalar) Quantization, in Pytorch☆3,499Updated last week
- Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embed…☆505Updated 5 months ago
- Awesome resources on normalizing flows.☆1,559Updated last month
- Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)☆1,751Updated last year
- Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.☆797Updated 7 months ago
- Official PyTorch implementation of the paper: Flow Matching in Latent Space☆294Updated 7 months ago
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆622Updated last year
- 从零手搓Flow Matching（Rectified Flow）☆461Updated 8 months ago
- Interactive visualizations of the geometric intuition behind diffusion models.☆811Updated 2 months ago
- A curated list for awesome discrete diffusion models resources.☆433Updated 2 months ago