A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)
☆233Oct 26, 2021Updated 4 years ago
Alternatives and similar repositories for Deep-learning-activity-recognition
Users that are interested in Deep-learning-activity-recognition are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Resources about activity recognition-行为识别资料☆929Aug 20, 2019Updated 7 years ago
- Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models☆16May 8, 2020Updated 6 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆485Nov 16, 2022Updated 3 years ago
- MATLAB Human Activity Recognition Toolbox☆56Mar 7, 2025Updated last year
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆339Nov 29, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)☆12Apr 28, 2018Updated 8 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Jul 6, 2023Updated 3 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,483Nov 6, 2022Updated 3 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Mar 25, 2018Updated 8 years ago
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆129Dec 21, 2024Updated last year
- Fall detection using sensor data with the help of 1D Convolution Neural Networks. The implementation is done using Tensorflow.☆14May 18, 2018Updated 8 years ago
- Temporal Segments LSTM and Temporal-Inception for Activity Recognition☆439Jun 27, 2020Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Oct 11, 2019Updated 6 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆25Feb 21, 2021Updated 5 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Jun 22, 2017Updated 9 years ago
- ☆11Sep 20, 2025Updated 11 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 7 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆50Mar 30, 2021Updated 5 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 4 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆23May 1, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Personalized machine learning on the smartphone☆60Mar 25, 2023Updated 3 years ago
- 🏄 行为识别Android版☆18Jun 27, 2018Updated 8 years ago
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆33Aug 14, 2019Updated 7 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆289Jun 3, 2018Updated 8 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆15Jul 1, 2021Updated 5 years ago
- Activity Recognition from 2D pose using an LSTM RNN☆294Jun 2, 2021Updated 5 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆31Jan 26, 2021Updated 5 years ago
- A curated list of action recognition and related area resources☆4,017May 13, 2023Updated 3 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆200Oct 3, 2019Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆41Sep 14, 2017Updated 8 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆368Oct 19, 2021Updated 4 years ago
- A toy LSTM net for action recognition using IMU sensor data, implemented in PyTorch. For the Hand-on tutorial as a TA in NAIST Spring Sem…☆11Mar 5, 2019Updated 7 years ago
- Data from IEEE Open Access Paper (https://doi.org/10.1109/ACCESS.2016.2631000)☆12Jan 4, 2017Updated 9 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆15May 22, 2019Updated 7 years ago
- PyTorch implementation of two-stream networks for video action recognition☆578Dec 22, 2020Updated 5 years ago
- some famous works and new content to be added☆148Jun 29, 2017Updated 9 years ago