edencfc Goto Github PK

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edencfc's Projects

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

models

Models and examples built with TensorFlow

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

node-opcua

an implementation of a OPC UA stack fully written in javascript and nodejs - http://node-opcua.github.io/

node-opcua-logger

A collector for logging OPCUA data to InfluxDB (and possibly other later).

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

opentsne

Extensible, parallel implementations of t-SNE

paddledetection

A high performance object detection and face detection toolkit based on PaddlePaddle.

paddlehub

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

paddlepaddle-doccrt

基于百度ERNIE和Pycorrector的文本编辑和批改的软件

paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

phishytics-machine-learning-for-phishing

Machine Learning for Phishing Website Detection

ppasr

基于PaddlePaddle2实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。

ppocrlabel

PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models.