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MpbPPI: A multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein-protein interactions
PyTorch code for KDD 2023 paper "Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design"
Beautifully crafted unique avatar placeholder for your next react project
The state-of-the-art image restoration model without nonlinear activation functions.
one for all free music in china (chrome extension, also works for firefox)
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
links to conference publications in graph-based deep learning
Unconstrained lattice antibody-antigen bindings generator
PyTorch implementations of Generative Adversarial Networks.
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
High-level batteries-included neural network training library for Pytorch
MONN: a Multi-Objective Neural Network for Predicting Pairwise Non-Covalent Interactions and Binding Affinities between Compounds and Proteins
Computer aided proximal decaging as a universal strategy for temporal protein activation
HoTS: Sequence-based prediction of binding regions and drug-target interactions.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Code of our JC paper: "Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map"
Predicting Drug Protein Interaction using Quasi-Visual Question Answering System