girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-SmartphonesView on GitHub
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep netwo…
☆88Sep 25, 2017Updated 8 years ago
Alternatives and similar repositories for Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones
Users that are interested in Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LSTM-CNN model for Human Activity Recognition☆24Jun 10, 2018Updated 7 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Jan 14, 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…☆99Jun 22, 2017Updated 8 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 3 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆323Nov 6, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- RNN classifier built with Keras to classify MNIST dataset☆13Dec 22, 2017Updated 8 years ago
- ReforcementLearning in Action☆15Feb 9, 2018Updated 8 years ago
- leverage the power of python and tableau to build real-time ML data analysis based on Iris dataset.☆11Sep 26, 2017Updated 8 years ago
- ☆10Dec 8, 2019Updated 6 years ago
- Project to visualize the kernels and the outputs of the individual layers of a CNN built in pytorch.☆18Feb 28, 2020Updated 6 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆16Mar 6, 2018Updated 8 years ago
- ☆41Sep 14, 2017Updated 8 years ago
- Telluride neuromorphic project on event-based image classification☆10Dec 21, 2016Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆12Apr 27, 2022Updated 4 years ago
- Action Recognition using Convolutional Neural Network (CNN)☆13Jun 10, 2018Updated 7 years ago
- use transfer learning to detect smoke in images and videos☆16Oct 1, 2017Updated 8 years ago
- Climate sensor PCB☆12Mar 8, 2020Updated 6 years ago
- Ergonomics metrics: REBA score☆20Nov 13, 2021Updated 4 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
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,486Nov 6, 2022Updated 3 years ago
- Integrating Dual Coordinate Attention with Adaptive Kernel Based Convolution Network for Medicinal Flower Identification☆18Nov 5, 2025Updated 6 months ago
- Human Activity Recognition Using Convolutional Neural Network in Keras☆219Jan 15, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The implementation is not completely based on CS231n assignment, In particular, I reconstruct the code according to my own ideas☆15Dec 9, 2016Updated 9 years ago
- Vision-RADAR fusion for Robotics BEV Perception: A Survey☆12Jan 28, 2023Updated 3 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆233Oct 26, 2021Updated 4 years ago
- Materials for the course on neuromorphic computing at RAAI Summer School 2021☆14Jul 5, 2022Updated 3 years ago
- Monitoring the driver's behavior, recording their driving event and providing feedback☆10Jan 29, 2018Updated 8 years ago
- The goal of this project was to build a smartphone application that can recognize hazardous behavior of a car driver. The driver actions …☆10Nov 15, 2019Updated 6 years ago
- Temporal Segments LSTM and Temporal-Inception for Activity Recognition☆441Jun 27, 2020Updated 5 years ago
- Human activity recognition using human pose information to aid classification.☆13Oct 1, 2017Updated 8 years ago
- Everything you need to build a test tube or flow-through photometer☆12May 3, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Human behavior recognition,CNN☆12Dec 12, 2018Updated 7 years ago
- Repo for using an LSTM and other algorithms on time series data for anomaly detection☆16Mar 25, 2023Updated 3 years ago
- fork from https://github.com/yjxiong/caffe☆14Mar 5, 2016Updated 10 years ago
- Time-sensitive Intermittent Computing Meets Legacy Software☆14Dec 2, 2022Updated 3 years ago
- Code for MME-SID accepted to CIKM 2025 Full Research track.☆28Oct 29, 2025Updated 6 months ago
- This is a collection of works and information on neuromorphic/ neuro-inspired computing.☆18Nov 16, 2019Updated 6 years ago
- A counterfactual collaborative session-based recommender system. WWW'23.☆10Nov 10, 2023Updated 2 years ago