yjxiong

the-art-of-command-line

Master the command line, in one page

keras

Deep Learning for humans

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

awesome-deep-vision

A curated list of deep learning resources for computer vision

caffe2

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

py-faster-rcnn

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

PRMLT

Matlab code of machine learning algorithms in book PRML

faster_rcnn

Faster R-CNN

CTPL

Modern and efficient C++ Thread Pool Library

NNPACK

Acceleration package for neural networks on multi-core CPUs

brainstorm

Fast, flexible and fun neural networks.

deep_q_rl

Theano-based implementation of Deep Q-learning

resnet-1k-layers

Deep Residual Networks with 1K Layers

inception

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

OpenCL-caffe

This is a Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

caffe-android-lib

Porting caffe to android platform

BinaryConnect

Training Deep Neural Networks with binary weights during propagations

T-CNN

ImageNet 2015 Object Detection from Video (VID)

dense_flow

OpenCV Implementation of different optical flow algorithms

noisy_label

Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"

Shocksolution_Examples

Example code from shocksolution.com

CLUE

C++ Lightweight Utility Extensions

deepmind-atari

GenProto

An online GUI tool used to visualize prototxt and generate prototxt for caffe (current version).

right_whale_hunt

Annotated faces for NOAA Right Whale Recognition Kaggle competition

darknet

Fork of Darknet with Python interface of YOLO object detector

gkmeans

kmeans implementation

caffe-multilabel

Note: This is already a very old caffe version. Please check the caffe-multigpu repo for a new version based on caffe-rc (https://github.com/BVLC/caffe/releases/tag/rc). Multilabel caffe, with multiple label outputs on dataLayer. No need to modify Loss layer, each loss is dealed separately.