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

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

common data analysis and machine learning tasks using python

scikit-learn: machine learning in Python

Machine learning resources

全面的算法代码库

ChaLearn LAP Real Versus Fake Expressed Emotion Challenge @ICCV 2017 rank 5th

A simple tool for labeling object bounding boxes in images

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

An elegant \LaTeX\ résumé template

VDSR pytorch implementation

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Implementation of Super Resolution CNN in Keras.

Deep Residual Learning for Image Recognition

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

KAZE Features