balatatree,github

jiagu

Jiagu深度学习自然语言处理工具知识图谱关系抽取中文分词词性标注命名实体识别情感分析新词发现关键词文本摘要文本聚类

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-yearning-cn

吴恩达《Machine Learning Yearning》的中英文版（更新中）：第1~第22章

machinelearning

Machine learning resources，including algorithm, paper, dataset, example and so on.

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-nlp

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。

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models and examples built with TensorFlow

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

news-search-engine

新闻搜索引擎

nlp-paper

NLP Paper

nlp-papers

Natural Language Processing Papers

nlp-tutorials

Not complete yet

nlp_paper_study

研读顶会论文，复现论文相关代码

nlper-interview

该仓库主要记录 NLP 算法工程师相关的面试题

numpy-ml

Machine learning, in numpy

opennre

An Open-Source Package for Neural Relation Extraction (NRE)

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

plmpapers

Must-read Papers on pre-trained language models.

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

principle-of-web-search

北京邮电大学“网络搜索原理”课程资料(2019)

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

real-time-rendering-3rd-cn-summary-ebook

:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》，也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣，或者《Real-Time Rendering 4th》的前置阅读材料。

relevant-search-book

Code and Examples for Relevant Search

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