Nugget Proposal Networks for Chinese Event Detection

近年来事件抽取方法总结，包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型，DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法

用于存储NLP常用模型

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Chinese Pre-Trained Language Models (CPM-LM) Version-I

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

数据挖掘18大算法实现以及其他相关经典DM算法

Generate text images for training deep learning ocr model

Google Brain AutoML

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Python - 100天从新手到大师

A Python library for automating interaction with websites.

Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

Deformable Convolution in TensorFlow / Keras

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Image augmentation for machine learning experiments.

PredictionIO, a machine learning server for developers and ML engineers.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Automatic License Plate Recognition library

A Keras implementation of YOLOv3 (Tensorflow backend)

Faster R-CNN for Open Images Dataset by Keras

The basic distribution probability Tutorial for Deep Learning Researchers

🤗 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.

kaldi-asr/kaldi is the official location of the Kaldi project.