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action-detection

temporal action detection with SSN

additive-groves

Additive Groves is an ensemble of regression trees developed by Daria Sorokina, Rich Caruana and Mirek Riedewald.

attention-ocr

Visual Attention based OCR

attention_is_all_you_need

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mxnet

A curated list of MXNet examples, tutorials and blogs.

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

binary-human-pose-estimation

This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

blitzwave

blitzwave C++ wavelet mini-library

boost

Super-project for modularized Boost

bosen

Petuum's Bosen project

build-libcurl-windows

Batch script to download and build libcurl (using Visual Studio compiler)

caffe

Caffe

caffe-1

modified version of caffe which support DeconvNet and DecoupledNet

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-deepbinarycode

Supervised Semantics-preserving Deep Hashing (TPAMI17)

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-fcn

Run Long and Shelhamer's FCN image segmentation network using Caffe

caffe-lstm

LSTM implementation on Caffe

caffe-model

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

caffe-ocr

OCR with caffe deep learning framework

caffe-parallel

caffe-parsenet

Modifications to ParseNet

caffe-rfcn

Caffe branch for R-FCN

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-yolo

YOLO (Real-Time Object Detection) in caffe