TorchCFM: a Conditional Flow Matching library
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Updated
Mar 11, 2025 - Python
TorchCFM: a Conditional Flow Matching library
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
Flow Matching implemented in PyTorch
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Easily train and evaluate multiple flow matching generative models on various particle physics datasets
Generative AI: From Start to Surrender – A Practical Guide to Mastering and Struggling with AI Models
Flow Matching Generative Models for 'Full Phase Space Resonant Anomaly Detection' (https://arxiv.org/abs/2310.06897)
EPiC Flow Matching Implementation for Generating Jets as Point Clouds (https://arxiv.org/abs/2310.00049)
"Classifier Surrogates: Sharing AI-based Searches with the World"
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