pkuwak

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

PatrickStar

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

the-algorithm

Source code for Twitter's Recommendation Algorithm

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

mr_uplift

Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

deeplearning

深度学习相关的模型训练、评估和预测相关代码

AlgoNotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

Keras-TextClassification

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

DeepCTR

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

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

PARL

A high-performance distributed training framework for Reinforcement Learning

research_tao

NLP研究入门之道

Python

All Algorithms implemented in Python

Virgilio

Your new Mentor for Data Science E-Learning.

Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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

leetcode_python

JData-2018

Top 6 - Code for JData-2018

zi2zi

Learning Chinese Character style with conditional GAN

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.