Stars
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
A LaTeX beamer theme template for Tsinghua students.
Next Generation of ShadowsocksX
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Collaborative Filtering Using Matrix Factorization in TensorFlow
The implementation of our SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng and Aixin Sun
算法工程师(人工智能CV方向)面试问题及相关资料
A small package that implements the SEIRD Epidemiological Model on COVID-19 data.
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational co…
COVID 2019 Data Sharing From IBS Data Science Group
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
A toy implementation of Neural Graph Collaborative filtering
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Multi-Graph Convolutional Neural Networks
Paper Lists for Graph Neural Networks
Easy to use library to bring Tensorflow on Apache Spark
Acceptance rates for the major AI conferences