Pinned Repositories
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
MTSVRC
MTSVRC2018竞赛结果提交镜像说明
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。
wkecn's Repositories
wkecn/MTSVRC
MTSVRC2018竞赛结果提交镜像说明
wkecn/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。
wkecn/AI_Challenger_2018
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
wkecn/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
wkecn/Compute-Features
Computes features for images using various pretrained Tensorflow models
wkecn/DeepCats
Ohio University Big Data Club - DeepCats Solution
wkecn/gitskills
wkecn/gluon-tutorials-zh
《动手学深度学习》
wkecn/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.
wkecn/keras
Deep Learning for humans
wkecn/learngit
wkecn/Learning-Path
record my study.
wkecn/mobula
A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python
wkecn/Pytorch-UNet
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
wkecn/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".
wkecn/tf-frrn
This repository contains code implementing the paper, Full Resolution Residual Networks for Semantic Segmentation in Street Scenes (FRRN) in Tensorflow.
wkecn/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.
wkecn/youtube-8m
Starter code for working with the YouTube-8M dataset.
wkecn/Youtube-Video-classification-using-GRU-BI-GRU-and-BI-LSTM
wkecn/youtube8mchallange
1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge