LSTM-Human-Activity-Recognition

guillaume-chevalier/lstm-human-activity-recognition3.4K

Activity recognition

This project aims to recognize human activities using a smartphone's accelerometer and gyroscope data with an LSTM RNN.

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.

ma-shamshiri/human-activity-recognition101

Activity classifier

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

robromijnders/lstm_tsc410

Time series classifier

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

ruohoruotsi/lstm-music-genre-classification298

Music classifier

An audio classification project using LSTMs to classify music genres

guillaumegenthial/sequence_tagging1.9K

NER model

Named Entity Recognition model using LSTM and CRF with character embeddings

lausbert/exermote128

Exercise detector

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

oyxhust/cnn-lstm-ctc-text-recognition259

Text recognizers

Develops CTC-based text recognition models with neural network architectures

wanglimin/untrimmednet162

Action recognition system

A system for recognizing and detecting actions in untrimmed videos using a weakly supervised learning approach.

naptha/ocracy37

Optical recognizer

An implementation of a recurrent neural network-based optical character recognition system using LSTM architecture.

andreas-bulling/actrectut56

Activity Recognition Toolkit

A toolkit providing a framework and tools for designing and evaluating activity recognition systems using inertial sensors.

junyangwang0410/haelm17

Hallucination detector

A framework for detecting hallucinations in large language models

dog-qiuqiu/ultralight-simplepose302

Human pose detector

A lightweight human body posture key point model using computer vision and deep learning techniques.

zhiwu-huang/lienet64

Action recognition algorithm

This project uses deep learning and Lie group theory to recognize actions from skeleton data

lz118/deep-correlation-network13

Object detector

Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors.