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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesomecpp

---AWESOME--- C++学习笔记和常见面试知识点，C++11特性，包括智能指针、四种强制转换、function和bind、移动语义、完美转发、tuple、多态原理、虚表、友元函数、符号重载、函数指针、深浅拷贝、struct内存对齐、volatile以及union\static等各种关键字的用法等等

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bdci2018-chinauuicom-1st-solution

这是BDCI2018的联通赛题第一名解决方案

bert

TensorFlow code and pre-trained models for BERT

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert-train2deploy

BERT模型从训练到部署

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

big_data_resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源

books

bytecup_solution

categorical-encoding

A library of sklearn compatible categorical variable encoders

challenge

微信大赛baseline

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese-bert-wwm

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

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese-word2vec

word2vec/glove/swivel binary file on chinese corpus

cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coding-interview-university

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

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

courses

fast.ai Courses

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cs-notes

:books: Computer Science Learning Notes

cs_study_plan

一份硬核计算机科学CS自学计划

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

ctrnet-tool

This's the tool for CTR, including FM, FFM, NFFM and so on.