adritad's Projects
Transformer Based Language Model for Peptide Property Prediction
A Protein Large Language Model for Multi-Task Protein Language Processing
Code for the ProteinMPNN paper
A LLama encoder trained on the protein language
ProtMamba: a homology-aware but alignment-free protein state space model
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Saprot: Protein Language Model with Structural Alphabet
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Multi-modal Protein-Protein Interaction Prediction using Graph Neural Networks and Protein Language Models in a Supervised Framework
Wav2Vec-U: Unsupervised Speech Recognition with GANs Re-implementation and enhancement of the GAN-based unsupervised speech recognition model, wav2vec-U. This project introduces self-supervised learning and adversarial training to autonomously segment unlabeled audio, achieving impressive results on benchmark datasets.