Thursday, November 7, 2019
Captured Nov 07, 2019, 9:08 PM CT · trending is a rolling 24-hour window ending at capture time.
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Code for the paper "Language Models are Unsupervised Multitask Learners"
- 2
Dataset of GPT-2 outputs for research in detection, biases, and more
- 3
⚛️ Hooks for fetching, caching and updating asynchronous data in React
- 4
A better notebook for Scala (and more)
- 5
📚 技术面试必备基础知识、Leetcode、Java、C++、Python、后端面试、计算机操作系统、计算机网络、系统设计
- 6
📝 A simple and elegant markdown editor, available for Linux, macOS and Windows.
- 7
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- 9
番号大全。
- 10
OpenTitan: Open source silicon root of trust
- 11
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
- 12
palash25/best-practices-checklist
A list of awesome idiomatic code resources. Rust, Go, Erlang, Ruby, Pony and more
- 13
Deezer source separation library including pretrained models.
- 14
Milvus -- the world's fastest vector search engine.
- 15
A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁(我已经看到了,撤回也没用了)
- 16
fluttercandies/NeteaseCloudMusic
Flutter - NeteaseCloudMusic Flutter 版本的网易云音乐
- 17
sleepybear1113/taobaoVisitingVenues
双十一活动自动化地操作淘宝浏览店铺得喵币脚本 for Android
- 18
Cool Python features for machine learning that I used to be too afraid to use
- 19
大数据入门指南 ⭐️
- 20
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
- 21
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
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Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
- 24
microsoft/BotFramework-Composer
Dialog creation and management for Microsoft Bot Framework Applications
- 25
KunMinX/Jetpack-MVVM-Best-Practice
是 难得一见 的 Jetpack MVVM 最佳实践!在 蕴繁于简 的代码中,对 视图控制器 乃至 标准化开发模式 形成正确、深入的理解!






















































































