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Xiangtan University
- China
- https://jacklin18.github.io/
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Associated Repository for "Translation between Molecules and Natural Language"
Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"
Knowledge-enhanced learned representation enriches protein sequence and SMILES drug databases with a large Knowledge Graph fused from different sources. This improves results on TDC drug target bin…
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
PyGCL: A PyTorch Library for Graph Contrastive Learning
A powerful and flexible machine learning platform for drug discovery
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.
Open source code for AlphaFold 2.
This package contains deep learning models and related scripts for RoseTTAFold
A Deep Learning based Efficacy Prediction System for drug discovery
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chemical Data Cartridge for Oracle using RDKit
Interactive plots with chemical structures
Code for the paper: ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Drug-target binding affinity counterfactual generation
GraphDTA: Predicting drug-target binding affinity with graph neural networks
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).