Modern and efficient C++ Thread Pool Library

A C++ High Performance Web Server

快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

A very simple framework for state-of-the-art Natural Language Processing (NLP)

多线程爬虫Get豆瓣电影、演员、书籍、作者信息

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

史上最大规模1.4亿中文知识图谱开源下载

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

Very deep CNN for text classification

An easy to use and efficient memory pool allocator written in C++.

Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

🔠Foreign language reading and translation assistant based on copy and translate.

A simple yet strong implementation of neural machine translation in pytorch

LSTM+CRF NER

📖 [译] scikit-learn（sklearn） 中文文档

Models, data loaders and abstractions for language processing, powered by PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN