roilandwu

FastMaskRCNN

Mask RCNN in TensorFlow

CarND-Vehicle-Detection

Monocular vehicle detection using SVM and Deep Learning classifiers

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

siggraph2016_colorization

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

deep-residual-networks

Deep Residual Learning for Image Recognition

openpilot

open source driving agent

self-driving-car

Information about the Udacity open source self-driving car project

CarND-TensorFlow-Lab

TensorFlow Lab for Self-Driving Car ND

mxnet

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

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

caffe-segnet

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

tensorflow

Computation using data flow graphs for scalable machine learning

igmm

Infinite Gaussian Mixture Model

train-CRF-RNN

Train CRF-RNN for Semantic Image Segmentation using Python

tomrunia.github.io

Personal website

caffe

Caffe: a fast open framework for deep learning.

Objectness

BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

SalBenchmark

Salient Object Detection: A Benchmark

PG_DEEP

demo of deep belief nets

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

UFLDL-tutorial

Deep Learning and Unsupervised Feature Learning Tutorial Solutions

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

deep-visualization-toolbox

libdeep

A deep learning library for C/C++

n42

Deep learning module for nodejs

rbm-mnist

C++ 11 implementation of Geoff Hinton's Deep Learning matlab code