[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
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Updated
May 24, 2024 - Jupyter Notebook
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
Unofficial implementation of NVIDIA P-Flow TTS paper
Diffusion Singing Voice Conversion based on Grad-TTS from HuaWei
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model"
Official PyTorch implementation of the paper: Flow Matching in Latent Space
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Mixed continous/categorical flow-matching model for de novo molecule generation.
Utilized attention incorporated UNet model for conditional image generation using Flow Matching with Conditional Optimal Transport Objective
Flow Matching Generative Models for 'Full Phase Space Resonant Anomaly Detection' (https://arxiv.org/abs/2310.06897)
A minimal example for training a flow matching model in a pretrained VAE's latent space to generate MNIST digits.
Implementation of flow matching on tabular data using XGBoost
[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"
An official pytorch implementation of EACL2024 short paper "Flow Matching for Conditional Text Generation in a Few Sampling Steps"
An official pytorch implementation of AAAI 2024 paper "Latent Space Editing in Transformer-based Flow Matching"
EPiC Flow Matching Implementation for Generating Jets as Point Clouds (https://arxiv.org/abs/2310.00049)
Easily train and evaluate multiple generative models on various particle physics datasets
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