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3d-hourglass-network

3D HourGlass Networks for Human Pose Estimation Through Videos

3d_ct_reconstruction

3dfasterrcnn_lungnoduledetector

3dunet-pytorch

3DUNet implemented with pytorch

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

4d-cbct

A deep convolutional neural network (based on the 'U-Net') to enhance the image quality of 4-D Cone Beam CT

ai-reading-materials

Some of the ML and DL related reading materials, research papers that I've read

arsf_binaryreader

Basic c++ library for reading binary (bil,bsq) files

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

batch

Some basic batch scripts

c-socket

socket 实例

caffe

Caffe: a fast open framework for deep learning.

caffe-augmentation

Data Augmentation for Caffe

caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

caffe-faster-rcnn

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

caffe-fcn

FCN for segmentation

caffe-mask-vos-rcnn

caffe-model-zoo

caffe pretrained models and prototxt

caffe-python-tutorial

A Basic Tutorial to learning Caffe with Python, including two examples for classification and detection, and codes to train, test, prune and compress Net.

caffe-r-fcn

The deep-learning framework Caffe that support faster-rcnn and RFCN

caffe-segmentation

Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

caffe-ssd-windows

caffe-windows-dependencies

Build scripts to compile caffe dependencies on Windows

caffe-yolov2

caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

caffe2pytorch

caffemodel-compression

the method to compress the size of the caffemodel file without loss of accuracy