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awesome-deep-learning-resources icon awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

cnn-svm-classifier icon cnn-svm-classifier

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

deepconvlstm icon deepconvlstm

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

har-stacked-residual-bidir-lstms icon har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

models icon models

Models and examples built with TensorFlow

pcc icon pcc

Resources for Python Crash Course, from No Starch Press.

python icon python

Python3.6编写的各种大小程序

test icon test

第一次学习github,测试使用

vnpy icon vnpy

基于Python的开源量化交易平台开发框架

zhihu icon zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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