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har-lstm-fcn

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.

har-ttn

har_datasets

har_wcnn

helloorigion

我想要本地提交到远程

home-assistant

:house_with_garden: Open-source home automation platform running on Python 3

home-assistant.github.io

:blue_book: Jekyll project to generate home-assistant.io

hrms

人力资源管理系统，基于struts2、spring、hibernate框架搭建，包含模块：人事管理、招聘管理、机构管理、考勤管理、培训管理、个人办公、系统管理。

hrms-1

基于jsp/servelt的人力资源管理系统

inception-v4

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

ipv6-hosts

keras-anomaly-detection

Anomaly detection implemented in Keras

keras-textclassification

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, DMN,

keras-utility-layer-collection

Collection of custom layers and utility functions for Keras which are missing in the main framework.

keras_lstm_vae

Keras implementation of LSTM Variational Autoencoder

leam

learn-python3

Learn Python 3 Sample Code

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_attention

attention-based LSTM/Dense implemented by Keras

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machinelearning

Basic Machine Learning and Deep Learning

medium_notebook

Repository containing notebooks of my posts on Medium

movinet-pytorch

MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;

nested-lstm

Keras implementation of Nested LSTMs

nlstm

Nested LSTM Cell

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

onethink

a content manager framework base on thinkphp3.2