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frankQDU

frankQDU

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tianchi-gaic-track3-share

天池人工智能创新赛3-ch12hu团队周星星分享

Stargazers:26Issues:0Issues:0

CS224n-Reading-Notes

CS224n Reading Notes in Chinese 中文阅读笔记

Stargazers:484Issues:0Issues:0

Machine-Learning-From-Scratch

常用机器学习的算法简洁实现

Language:PythonStargazers:641Issues:0Issues:0

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

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RecommendSystemPractice

《推荐系统实践》代码实现

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fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

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nlp_research

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Language:PythonLicense:MITStargazers:186Issues:0Issues:0

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。

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transformers

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

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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nlp-competitions-list-review

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

Stargazers:2639Issues:0Issues:0

CPlusPlusThings

C++那些事

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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RecBook

推荐系统修炼手册

Stargazers:117Issues:0Issues:0

chinese_nlp

中文自然语言处理入门实战课程语料

Stargazers:391Issues:0Issues:0

deep_recommenders

Deep Recommenders

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DeepRec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

License:MITStargazers:983Issues:0Issues:0

competition_baselines

开源的各大比赛baseline

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Tencent2020_Top5

2020腾讯广告算法大赛 Top5 solution. https://algo.qq.com/

Language:PythonStargazers:80Issues:0Issues:0

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

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libsurv

A library of survival model

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random-survival-forest

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Language:PythonLicense:NOASSERTIONStargazers:56Issues:0Issues:0

GBST

GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost

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scikit-network

Graph Algorithms

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CTR

CTR模型代码和学习笔记总结

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team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

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TensorFlow2.0-Notes

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

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2020_KDD_Debiasing_TOP13

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13

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KDDCUP-2020

6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System

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thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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