LingjieBao1998's repositories
awesome-molecular-dynamics
:sunglasses: A curated list of awesome Molecular Dynamics libraries, tools and software.
Chemical-informatics
Chemical informatics by Bob
coding-interview-university
A complete computer science study plan to become a software engineer.
deep-active-learning
Deep Active Learning
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Hefei_ECG_TOP1
“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution
LingjieBao1998
Config files for my GitHub profile.
WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020
ibm3202
Google Colab Tutorials for IBM3202
learn_python3_spider
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等
MCMC
Implementation of Markov Chain Monte Carlo in Python from scratch
md_python
The repository with the lecture and tutorial for CPS teaching grant
Metapath2Vec
Implementation of metapath2vec
MolDetect
A Sequence Generation Model for Reaction Diagram Parsing
Molecular-Dynamics-Simulation
Sample codes for my book on molecular dynamics simulation
notebook
My first ever repository, some notebooks useful, others sucks. Topics include file format conversion with obabel, docking with Auto Dock, MD with Charmm GUI and QSAR etc, never expect the format is perfect.
QSAR-COVID-19-App
Interactive web App to predict anti-COVID19 3C-like protease bioactivity for given SMILES
rxn_yields
Code complementing our manuscript on the prediction of chemical reaction yields (https://iopscience.iop.org/article/10.1088/2632-2153/abc81d) and data augmentation strategies (https://doi.org/10.26434/chemrxiv.13286741).