Repositories
Mulaqua
An interpretable multimodal deep learning framework for identifying PMT/vPvM substances in drinking water
xBitterT5
An explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides
HyPepTox-Fuse
An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors
XMolCap
Advancing Molecular Captioning through Multimodal Fusion and Explainable Graph Neural Networks
HuBERT-CLAP
Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach
DOGpred
A Novel Deep Learning Framework for Accurate Identification of Human O-linked Threonine Glycosylation Sites
XCT-COVID
Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study
MST-m6A
A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts
MemoCMT
Multimodal emotion recognition using cross-modal transformer-based feature fusion
Mol2Lang-VLM
Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion
Lang2Mol-Diff
A Diffusion-Based Generative Model for Language-to-Molecule Translation Leveraging SELFIES Molecular String Representation
mACPpred 2.0
Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations
SER-Fuse
An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion
SERVER
Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings
mVina
Improving ligand-ranking of AutoDock Vina by changing the empirical parameters
Fruit-API
Towards designing a generic and comprehensive deep reinforcement learning framework