jy-go Goto Github PK

attend-and-discriminate

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

bi-stan

Open source code for paper "Bi-STAN: Bilinear Spatial-Temporal Attention Network for Wearable Human Activity Recognition"

cs-self-learning

计算机自学指南

deepconvlstm

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

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

kohonen-maps

Implementation of SOM and GSOM

lstm-human-activity-recognition

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

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

sensor-based-human-activity-recognition-deepconvlstm-pytorch

DeepConvLSTM model for sensor-based human activity recognition in Pytorch

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

van-classification