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pinedy's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

gdlnotes icon gdlnotes

Google Deep Learning Notes(TensorFlow教程)

gold-miner icon gold-miner

🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:

hands-on-machine-learning icon hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imgaug icon imgaug

Image augmentation for machine learning experiments.

information-extraction-chinese icon information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

kaggle icon kaggle

Kaggle 项目实战(教程) = 文档 + 代码 + 视频(欢迎参与)

nlp icon nlp

:memo: This repository recorded my NLP journey.

nlp-progress icon 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.

paddleocr icon 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)

pick-pytorch icon pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

pytorch-handbook icon 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-human-performance-gec icon pytorch-human-performance-gec

A PyTorch implementation of "Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study"

pytorch-seq2seq icon pytorch-seq2seq

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

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