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adversarialnetspapers

The classical papers and codes about generative adversarial nets

algorithms

全面的算法代码库

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

baidu_dog

A method for baidu dog recognition rank 13th

bbox-label-tool

A simple tool for labeling object bounding boxes in images

caffe-model

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

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caffe_ocr_for_linux

datasciencepython

common data analysis and machine learning tasks using python

deep-residual-networks

Deep Residual Learning for Image Recognition

emotiw-2017-audio-video-emotion-recognition

Method strategy for EmotiW 2017 video emotion recognition

face-hallucination

face-hallucination-with-tiny-images

using GAN to super-resolve tiny images

face_attribute_-annotation_tool

In order to annotate age and gender for training CNN using Qt

har-stacked-residual-bidir-lstms

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

image-super-resolution

Implementation of Super Resolution CNN in Keras.

img2img

Image translation

infogan

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

kaze

KAZE Features

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

learn_tf

A tutorial of learning tensorflow

machinelearning

Machine learning resources

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

models

Models built with TensorFlow

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pixel-recursive-super-resolution

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

py-r-fcn-multigpu

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

python_quant

A tutorial of quant

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration