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book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

caffe

Caffe: a fast open framework for deep learning.

caffe-faster-rcnn

faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-yolov3-windows

A windows caffe implementation of YOLO detection network

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

create-your-own-adventure

deca

DECA: Detailed Expression Capture and Animation

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearningandpaddletutorial

jupyter

facial_landmark_3d

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

first_neural_network

Udacity fist project

fullstack-nanodegree-vm

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

jacksonl1

Config files for my GitHub profile.

jacksonl1.github.io

learnopencv

Learn OpenCV : C++ and Python Examples

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

opencv

Open Source Computer Vision Library

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

photometric_optimization

Photometric optimization code for creating the FLAME texture space and other applications

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

ringnet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

ssd-on-custom-dataset

Train SSD on custom dataset.