zhangxu999

coding-interview-university

A complete computer science study plan to become a software engineer.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

interview_python

关于Python的面试题

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

requests-html

Pythonic HTML Parsing for Humans™

support.996.ICU

Microsoft and GitHub Workers Support 996.ICU

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

CLUE

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

KnowledgeGraphCourse

东南大学《知识图谱》研究生课程

ChineseNER

A neural network model for Chinese named entity recognition

Spirit

Spirit is a modern Python based forum built on top of Django framework

DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

jupyters_and_slides

Al_challenger_2018_sentiment_analysis

AI Challenger 2018 细粒度用户评论情感分析，排名17th，基于Aspect Level 思路的解决方案

Springboard-Blog-Tutorials

fetchQzone

Featured | 抓取多人QQ空间说说和评论。以便分析一个人在他的好友的空间中留下的轨迹，获取有用信息。

AutoSummarization

新闻文本自动摘要， 以Textrank 为基础，融入 标题特征，单句位置特征，重要实体特征，线索词特征，做句子的综合权重计算，并使用MMR算法，兼顾自动摘要的主题相关性和摘要多样性。

DolphinML

A Handmade machine learning Algorithm library. It is simple enough. cover most common ML Algorithm.

conference

blog_file

md文件备份

conference

PAT_Alevel

http://www.patest.cn/contests/pat-a-practise 浙大PAT算法题目解题集合。