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ai_challenger_2018

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

compute-features

Computes features for images using various pretrained Tensorflow models

deepcats

Ohio University Big Data Club - DeepCats Solution

gitskills

gluon-tutorials-zh

《动手学深度学习》

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

keras

Deep Learning for humans

learngit

learning-path

record my study.

mobula

A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python

mtsvrc

MTSVRC2018竞赛结果提交镜像说明

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

ssrn

This is a tensorflow and keras based implementation of SSRNs in the TGRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

tensorflow-course

学习炼石成金的tensorflow学习与应用课程的实验代码，及供参考。

tf-frrn

This repository contains code implementing the paper, Full Resolution Residual Networks for Semantic Segmentation in Street Scenes (FRRN) in Tensorflow.

video2tfrecord

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.

youtube-8m

Starter code for working with the YouTube-8M dataset.

youtube-video-classification-using-gru-bi-gru-and-bi-lstm

youtube8mchallange

1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge