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caffe

Caffe: a fast open framework for deep learning.

caffe-1

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-googlenet-bn

re-implementation of googlenet batch normalization

caffe-model

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

caffe-project-vggnet-resnet-densenet

caffe-tensorflow

Caffe models in TensorFlow

caffe-train

crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

deep-learning-object-detection-links.

Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )

deep-learning-tools

Tools about deep learning.

deep-residual-networks

Deep Residual Learning for Image Recognition

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

depth-pose-estimation

Human pose estimation from a single depth image.

differentiable_neural_computer_live

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

fast-rcnn

Fast R-CNN

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fcn.berkeleyvision.org

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

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

ganet

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

generative_adversarial_networks_live

heal

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow

hourglass-facekeypoints-detection

face keypoints deteciton based on stackedhourglass

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

learnable-triangulation-pytorch