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yxandam's Projects

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

autorccar icon autorccar

[hamuchiwa/AutoRCCar]项目的中文文档。每个代码文件都有同名markdwon文件来讲解。这是一个用 RC 小车、树莓派、Arduino和开源软件实现的小规模的自动驾驶项目。

blog icon blog

Material Design theme for hexo.

bluetootharduino icon bluetootharduino

An Android App for Connecting to HC-05 Arduino Bluetooth Module and controling a 16x2 character display and a DS1307 RTC Module connected to the Arduino

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-yolov3 icon caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

chinese-ocr icon chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

chinese-ocr-1 icon chinese-ocr-1

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

chinese_ocr icon chinese_ocr

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

ctensor icon ctensor

A super light-weight deep learning library based on NumPy in PyTorch fashion.

deepfacelab icon deepfacelab

DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Includes prebuilt ready to work standalone Windows binary (check readme.md).

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

hack.chat icon hack.chat

a minimal, distraction-free chat application

hyperlpr icon hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

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