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Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors
Open source code for paper "Bi-STAN: Bilinear Spatial-Temporal Attention Network for Wearable Human Activity Recognition"
计算机自学指南
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Notes about courses Dive into Deep Learning by Mu Li
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Implementation of SOM and GSOM
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
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Parallel t-SNE implementation with Python and Torch wrappers.
DeepConvLSTM model for sensor-based human activity recognition in Pytorch
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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We are working to build community through open source technology. NB: members must have two-factor auth.
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Data-Driven Documents codes.
China tencent open source team.