Name: Yundian Zeng
Type: User
Company: Zhejiang Univeristy
Bio: Yundian Zeng,
[email protected],
Wuhan University -> Zhejiang University,
Control science and engineering,
Drug Design and Computational Biology Group
Location: hangzhou, Zhejiang, China
Yundian Zeng's Projects
Releated reading materials
Open source code for AlphaFold.
浙江大学自动健康打卡
浙江大学自动健康打卡
A curated list of resources for molecular pre-trained models or chemical language models
Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
DeepTTC: a transformer-based model for predicting cancer drug response
Biological domain knowledge based artificial neural network
This is a java project for biological and pharmceutical analysis
numpy实现的bp算法,代码是pytorch风格,可供pytorch入门学习,配合plotly.js获得良好的训练可视化
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
The public repository including all code to recreate the analysis and figures from, "Exploiting convergent evolution to derive a pan-cancer cisplatin sensitivity gene expression signature."
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
A collection of various deep learning architectures, models, and tips
Python package built to ease deep learning on graph, on top of existing DL frameworks.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Early stopping for PyTorch
All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching.
Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).
💎 免费的编程资源大全,持续更新!🔥 覆盖各种语言和方向(Java \ Python \ C++ \ JavaScript \ Golang \ 前端 \ 后端等)的学习路线、贴心教程、项目实战、编程书籍、面试合集、实用资源等,对程序员非常有帮助!
Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )
InteractionGraphNet: a Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein-Ligand Interaction Predictions
An Introduction to Deep Generative Modeling: Examples
K-BERT for molecular property prediction.
My blogs and code for machine learning. http://cnblogs.com/pinard