Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning | IROS 2024
A Lightweight and High Performance Neural network for MI-EEG decoding
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification." Sethi et al., 2025
[WACV 2025] LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
[MM2024] PyTorch implementation of "Semantic Codebook Learning for Dynamic Recommendation Models".
Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification." Sethi et al., 2025
Source code for the ADAM submission on the PlantCLEF2025 challenge
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