Minimal implementation of flow matching with JAX
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Updated
Oct 4, 2024 - Jupyter Notebook
Minimal implementation of flow matching with JAX
Discrete Flow Matching implemented in PyTorch
Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
Flow Matching Generative Models for 'Full Phase Space Resonant Anomaly Detection' (https://arxiv.org/abs/2310.06897)
My implementation Diffusers-like Scheduler for performing Euler Method on Conditional Flow Matching models
Model Zoo for Generative Models.
A repo of a modified version of Diffusion Transformer
Implementation of flow matching on tabular data using XGBoost
A minimal example for training a flow matching model in a pretrained VAE's latent space to generate MNIST digits.
inference engine for diffusion models
An official pytorch implementation of EACL2024 short paper "Flow Matching for Conditional Text Generation in a Few Sampling Steps"
[ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models
A pytorch implementation of paper "Motion Flow Matching for Human Motion Synthesis and Editing"
Flow Matching beyond Gaussian distributions for faster training and inference
EPiC Flow Matching Implementation for Generating Jets as Point Clouds (https://arxiv.org/abs/2310.00049)
Easily train and evaluate multiple flow matching generative models on various particle physics datasets
Flow and consistency matching in Flax
An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"
Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in MLX
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