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easyocr

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face-recognition

Face Recognition project in PyTorch using CNNs

flappy-bird-deep-q-learning-pytorch

Deep Q-learning for playing flappy bird game

generating-melodies-with-rnn-lstm

Repo with code and slides for the "Generating Melodies with RNN-LSTM" YouTuve series.

gpt2-ml

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

intelligent-writing-assist-system-based-on-deep-learning

keras-yolo3-ocr-tensorrt

ocr with yolo3 as feature extractor, implemented by keras, and accelerated by tensorrt

learn-statistical-learning-method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，分布式爬虫，爬虫项目实战实例等

machine-learning-session

named-entity-recognition

neuq-computer-networks-curriculum-design

neuqacmclub-weekly

该仓库用于存储NEUQ-ACM俱乐部现役预备队成员周报

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-tutorial-1

A list of NLP(Natural Language Processing) tutorials

nlp_paper_projects

ocr

[python3.6] 自然场景文字检测，tf+pytorch实现vgg+ctpn+crnn实现不定长场景文字OCR识别

ocr_chinese

图像文字检测模型(EAST/AdvancedEAST)，及包含文字识别模型(CRNN+CTC)，Keras/TensorFlow实现.

opencv_project

os-design

This is a curriculum design for operation system in NEUQ

paddleocr

Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices）

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

personal-loan-default-forecast

pytorch-and-neural-style-transfer

基于PyTorch的图像风格迁移实现

pytorch-course

JULYEDU PyTorch Course

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-sentiment-analysis-classification

RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

remi

Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.