Ling-Bao

R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

az-net

Object detection using AZ-Net

OverFeat

SPP_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

WassersteinGAN

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

learning-to-learn

Learning to Learn in TensorFlow

WHAT-AI-CAN-DO-FOR-YOU

Breakthrough AI Papers and CODE for Any Industry.

LightNet

Efficient, transparent deep learning in hundreds of lines of code.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

facenet

Face recognition using Tensorflow

fbnn

Facebook's extensions to torch/nn.

GDLnotes

Google Deep Learning Notes（TensorFlow教程）

Lasagne

Lightweight library to build and train neural networks in Theano

salgan

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

ROLO

ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking

ihog

Visualizing Object Detection Features. ICCV 2013

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

awesome-deep-vision

A curated list of deep learning resources for computer vision

nnvm

DeepLearnToolbox

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

LocNet

LocNet: Improving Localization Accuracy for Object Detection

ohem

OHEM support for Fast R-CNN

mxnet_center_loss

implement center loss operator for mxnet

contextlocnet

ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization (ECCV 2016)

MDNet

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking