TorchCFM: a Conditional Flow Matching library
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Updated
Jan 24, 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
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)
Generative AI: From Start to Surrender – A Practical Guide to Mastering and Struggling with AI Models
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