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All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等
A PyTorch Library for Multi-Task Learning
Windows Precision Touchpad Driver Implementation for Apple MacBook / Magic Trackpad
A framework for large scale recommendation algorithms.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🛴 PyTorch Implementation of classic Recommender System Models.
A collection of research and application papers of (uncertainty) calibration techniques.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
手写实现李航《统计学习方法》书中全部算法
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，…
tensorflow实战练习，包括强化学习、推荐系统、nlp等
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.