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
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Flow Matching implemented in PyTorch
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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