andrea-yao Goto Github PK

algorithm-books

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bdml4chem

benchmarking-gnns

Repository for benchmarking graph neural networks

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

blogs_by_rstudio_2

blogsbyrstudio

ccf-recommended-catalog-2019

**计算机学会(CCF)推荐国际学术会议和期刊目录 2019

code_snippets

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

cv

this repository is about some pdf or word documents

data-science-books-

A repository of books in data science

davissml

statistical machine learning

docs

documents

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gem

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-machine-learning

Graph Machine Learning, published by Packt

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

intro-to-qml

Introduction to QML representations, both how they are constructed and how to generate them using the qmlcode.

keggdrugvirtualscreening

A software for analysis and fast virtual screen of KEGG_DRUG molecular database of accepted drugs classificated by ATC codes

kgem-in-drug-discovery

Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)

kgnn

Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"

ms-thesis

neo4j

Graphs for Everyone

network-science-with-python-and-networkx-quick-start-guide

Network Science with Python and NetworkX Quick Start Guide, published by Packt

papers-literature-ml-dl-rl-ai

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

python-for-social-scientists

Python for Social Scientists

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

r4ds

R for data science: a book