xnuohz

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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18个章节，50余万字。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

955.WLB

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

programmer-job-blacklist

:see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊 更新有赞

gfwlist

The one and only one gfwlist here

lihang-code

《统计学习方法》的代码实现

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

GNNPapers

Must-read papers on graph neural networks (GNN)

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Chinese-BERT-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

RSPapers

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Machine-Learning-Session

shanghai_house_knowledge

2020年11月在上海买房经历总结出来的买房购房做的一些功课分享给大家，技术人帮助技术人，希望对大家有所帮助。

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

CS-Notes

我的自学笔记，终身更新，当前专注System基础、MLSys。

Stanford-CS-229

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Financial-Knowledge-Graphs

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

Reflection_Summary

算法理论基础知识应知应会

SparrowRecSys

A Deep Learning Recommender System

AutoGL

An autoML framework & toolkit for machine learning on graphs.

TDC

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

fduthesis

LaTeX thesis template for Fudan University

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data