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Papers in 101 lines of code

Implementation of machine learning related papers and algorithms in (more or less) 101 lines of code.

Inspired by the great Papers-in-100-Lines-of-Code by Maxime Vandegar.

Implemented papers

Flow Matching [code]

Flow Matching for Generative Modeling (Lipman et al., 2023)
https://openreview.net/forum?id=PqvMRDCJT9t

Free-form Flows [code]

Free-form Flows: Make Any Architecture a Normalizing Flow (Draxler et al., 2023)
https://arxiv.org/abs/2310.16624

Maximum Likelihood Training of Autoencoders (Sorrensonet al., 2023)
https://arxiv.org/abs/2306.01843

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