LSTM-Human-Activity-Recognition

neuraxio/lstm-human-activity-recognition3

Human Activity Detector

An LSTM-based human activity recognition system using smartphone sensor data.

guillaume-chevalier/har-stacked-residual-bidir-lstms319

Activity recognizer

An implementation of a deep neural network architecture for Human Activity Recognition using stacked residual bidirectional LSTM cells with TensorFlow.

amitshekhariitbhu/androidtensorflowmnistexample463

Digit Recognizer

A machine learning project that trains an Android model to recognize handwritten digits using TensorFlow and MNIST dataset.

binroot/tensorflow-book4.5K

TensorFlow book

A comprehensive resource for learning machine learning using TensorFlow.

sherjilozair/char-rnn-tensorflow2.6K

Character model trainer

A tool for training and sampling character-level language models using multi-layer recurrent neural networks

robromijnders/lstm_tsc410

Time series classifier

An implementation of a Long Short-term memory network for time-series classification using Python and TensorFlow

mhjabreel/stf-rnn28

Location predictor

Recurrent neural network model for predicting people's next location based on spatial and temporal features

ma-shamshiri/human-activity-recognition101

Activity classifier

A human activity recognition project using accelerometer and gyroscope sensor data from phone and watch.

guillaumegenthial/sequence_tagging1.9K

NER model

Named Entity Recognition model using LSTM and CRF with character embeddings

vonfeng/deepmove149

Human Mobility Model

A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks.

jaungiers/lstm-neural-network-for-time-series-prediction4.9K

Time series predictor

A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences

lausbert/exermote128

Exercise detector

An iOS fitness app prototype that uses machine learning to detect and count various exercises based on movement data

abhineet123/deep-learning-for-tracking-and-detection2.4K

Tracking and Detection Library

A collection of papers, datasets, code, and resources for object tracking and detection using deep learning.

hfawaz/dl-4-tsc1.6K

Time series classifier frameworks

This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks.

google/uis-rnn1.6K

Data Clustering Algorithm

This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples.