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1. Multi-View-CL Multi-View-CL Public

   Code for "A Principled Framework for Multi-View Contrastive Learning"

   Python 20 1

2. nc_by_design nc_by_design Public

   [ICML 2026] We propose a unified view of Supervised Learning as contrasting prototypes on the hypersphere, and introduce objectives that attain Neural Collapse, the optimum of Supervised Learning, …

   Python 3

3. PolySAE PolySAE Public

   [ICML 2026] PolySAE extends sparse autoencoders with polynomial decoder terms to model feature interactions, significantly improving probing F1 while capturing compositional structure beyond co-occ…

   Python 1

4. DHEL-KCL DHEL-KCL Public

   [ICML'24] Code for the loss functions and metrics presented in "Bridging mini-batch and asymptotic analysis in contrastive learning: From InfoNCE to Kernel-based losses"

   Python 10 1

5. MultimodalSDK_loader MultimodalSDK_loader Public

   Data parser for the CMU-MultimodalSDK package including parsing for CMU-MOSEI, CMU-MOSI, and POM datasets

   Python 38 4

6. tyiannak/deep_audio_features tyiannak/deep_audio_features Public

   Pytorch implementation of deep audio embedding calculation

   Python 106 11