chenyuango Goto Github PK

.tmux

Pretty + versatile self-contained tmux configuration

automatickeyphraseextraction

Data for Automatic Keyphrase Extraction Task

back-end-developer-interview-questions

后端开发面试题，翻译自 https://github.com/arialdomartini/Back-End-Developer-Interview-Questions

blockchain

区块链 - 中文资源

bottle

bottle.py is a fast and simple micro-framework for python web-applications.

chenyuango.github.io

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

demand_forcasting_and_safety_stock_management

Demand forcasting using time series analysis and safety stock optimization to provide desired service level

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

hello-world

interview-notebook

:books: 技术面试需要掌握的基础知识整理

java_books

Java 编程书籍分享

keras-textclassification

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM

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。

nlp-journey

nlp相关的一些论文及代码, 包括LDA主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成、文本相似性(Text Similarity)计算等，基于keras和tensorflow

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

seq2seq-keyphrase

spf13-vim

The ultimate vim distribution

tech_aarticle

深度学习模型在各大公司实战落地细节解读：主要是通过阅读各种实战文章，梳理模型落地的工程细节，涉及到搜索/推荐/自然语言处理。

textclassification-pytorch

Pytorch + NLP, 一份友好的项目实践仓库

tornado-server

a framework base on tornado

vimrc

My personal Vim configuration, with a lot of love put into it.

wzhifusdk

微信支付SDK

youtube-8m

Code of PhoenixLin(3rd place) in the 2nd Youtube8M Video Understanding Challenge