alchemistcai's Stars
jackfrued/Python-100-Days
Python - 100天从新手到大师
justjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
faif/python-patterns
A collection of design patterns/idioms in Python
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
nightrome/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
weslynn/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
AllenDowney/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
schrodinger/pymol-open-source
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
kexinhuang12345/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Zhen-Dong/Awesome-Quantization-Papers
List of papers related to neural network quantization in recent AI conferences and journals.
OpenChemistry/avogadrolibs
Avogadro libraries provide 3D rendering, visualization, analysis and data processing useful in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.
Pymol-Scripts/Pymol-script-repo
Collected scripts for Pymol
loversgzl/Learning
自己整理了一些网上和书籍中的知识与笔记,来应对技术面试可能遇到的一些问题,包括算法、操作系统、计算机网络、Java、C++、Python、Go。概念不是最重要的!概念不是最重要的!概念不是最重要的!练习题才是!重要的事情说三遍,概念是不是看了很多遍,看几遍忘几遍,题目做过几遍,是不是印象很深,精华是题目,笔者在大量练习后摘录了书籍、牛客网、赛码网、W3C、CSDN等各种渠道的练习题,较为基础的这里就不录入了,主要录入一些易混淆,不容易理解的题目。作者也不喜欢重复造轮子,某些知识点的解释有比较详细的博客,作者就简单引用了,只有作者觉得找不到解释较好的博客时,作者会自己写一篇然后引用,限于篇幅,具体还请点击链接详细了解。
rdk/p2rank
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
sh-qiangchen/GNN-Theory-Papers
This repository mainly lists some the latest research on graph neural network theory.
gkm0120/Graph-Neural-Network-Papers
图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。
rxdock/rxdock
RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on GitLab, this is a read-only source code mirror]
rasbt/screenlamp
screenlamp is a Python toolkit for hypothesis-driven virtual screening
ylab-hi/pxblat
PxBLAT: An Efficient and Ergonomic Python Binding Library for BLAT
menicgiulia/CPIExtract
Structurebiology-BNL/ESMBind
Deep learning + physical modeling for 3D protein metal ion binding prediction
haddocking/protein-glycans
LuoshuiTianyi/Varia