IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting it! The toolkit ships with two de…

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

ChineseSemanticKB,chinese semantic knowledge base, 面向中文处理的12类、百万规模的语义常用词典，包括34万抽象语义库、34万反义语义库、43万同义语义库等，可支持句子扩展、转写、事件抽象与泛化等多种应用场景。

腾讯word2vec模型缩小版

A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

一个具有划词翻译功能的跨平台pdf阅读器，用着挺好用开源一下造福众科研人员，欢迎star

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

Basic implementations of standard cryptography algorithms, like AES and SHA-1.

A lightweight library to simplify and generalize the process of writing unit tests for C applications.

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

from baidubaike get the corpus

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。

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

dpt systems study and enhancement

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

中文常用停用词表（哈工大停用词表、百度停用词表等）

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

VirtualKD-Redux - A revival and modernization of VirtualKD

Easily manage the brightness of your monitors in Windows from the system tray

A curated list of awesome self-supervised methods

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！

《程序员面试金典》(cc150)