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adaboost

Small and easy C++ AdaBoost Implementation

advanced-lane-detection

Developed a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting.

adversarialnetspapers

The classical papers and codes about generative adversarial nets

androiddlnabypython

通过python代码被android调用来完成dlna 图片或者电影的投屏

androidpython3

This is everything you need to run Python files on Android

audio2mp4

Write Audio Data to Mp4 file using iOS native APIs

augmentor

Image augmentation library in Python for machine learning.

bwn-xnor-caffe

Binary Weight Network and XNOR Network.

c3d

C3D for Keras (only Tensorflow backend at the moment) with easy preprocessing and automatic downloading of TF format sports1M weights

caffe-face

This branch is developed for deep face recognition

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-roc

a simple script to extract deep feature from caffe model, and test ROC on the LFW database.

caffe-yolo-face-detection

caffemodelcompression

Tool to compress trained caffe weights

captchavarilength

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

cnn_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

computer-vision-inference-tutorials

convlstm

Convolutional LSTM for video segmentation with Keras

coursera-machinelearning-python

Skeleton code for doing the coursera machine learning course in the form of an ipython notebook.

cudakalmanfilter

Implemented the Kalman Filter Algorithms on GPU using CUDA programming language. Analysed the run-time performance gain obtained by parallel computation of the various stages of the algorithm.Speed up of 1000x is observed for large input sets.

cudasift

A CUDA implementation of SIFT for NVidia GPUs (2.6 ms on a GTX 1060)

darknet

Convolutional Neural Networks

darknet-1

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

data-science-ipython-notebooks

Recently updated with 50 new 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.

dcgan_code

Deep Convolutional Generative Adversarial Networks

debug_seq2seq

[unmaintained] Make seq2seq for keras work

deep-landmark

Predict facial landmarks with Deep CNNs powered by Caffe.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis