Encoding human activity by considering salient sensors and time points.
☆42Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for encodingHumanActivity
Users that are interested in encodingHumanActivity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DeepConvLSTM implemented in python 3 and pytorch☆28Oct 15, 2021Updated 4 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆62May 14, 2019Updated 7 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆25Feb 21, 2021Updated 5 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆289Jun 3, 2018Updated 8 years ago
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆18Mar 18, 2022Updated 4 years ago
- 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.
- The comparsion methods code☆12Mar 7, 2022Updated 4 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆19Jan 14, 2022Updated 4 years ago
- Transformer for Human Activity Recognition☆78Jan 18, 2023Updated 3 years ago
- Conversion of the original code to work in Python3☆14Nov 21, 2017Updated 8 years ago
- ☆10Feb 14, 2023Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17May 23, 2023Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆23May 1, 2020Updated 6 years ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆19Apr 13, 2022Updated 4 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.
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆15May 22, 2019Updated 7 years ago
- ☆15Jun 1, 2022Updated 4 years ago
- ☆26Mar 31, 2021Updated 5 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆40Feb 10, 2023Updated 3 years ago
- Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…☆52Nov 23, 2023Updated 2 years ago
- This github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Ev…☆17Mar 19, 2021Updated 5 years ago
- Nursing activity recognition by using deep learning.☆10Aug 26, 2019Updated 6 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 5 years ago
- ☆38Feb 23, 2017Updated 9 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.
- [IEEE T-IP 2021] Semantics-aware Adaptive Knowledge Distillation for Cross-modal Action Recognition☆29Jan 6, 2025Updated last year
- ☆10Jan 7, 2023Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆43Jul 13, 2021Updated 5 years ago
- Clean, easier to use version of the downscaling cGAN☆25Feb 26, 2024Updated 2 years ago
- PyJama is a friendly python library for analyzing human kinematics data. Aimed at analyzing data from IMU's, MIMU's, data from optical de…☆18Mar 13, 2022Updated 4 years ago
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆28Apr 18, 2022Updated 4 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
- This github repository contains code to compute relative joint angles of two IMUs (MPU6050) using various algorithms.☆22Aug 10, 2024Updated last year
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆115Nov 25, 2020Updated 5 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.
- Data and code for analysis presented in Sensors journal manuscript titled "Optimization of IMU Sensor Placement for the Measurement of Lo…☆17Jun 8, 2026Updated last month
- monae: multi-modal single-cell integration and imputation☆13Sep 13, 2024Updated last year
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Apr 26, 2021Updated 5 years ago
- 👥 Federated Learning tutorial with TensorFlow Federated (TFF)☆14Jun 16, 2021Updated 5 years ago
- A collection of implementations functions implementing variants of the triple collocation method☆11Nov 19, 2014Updated 11 years ago
- Improved the performance of 8-bit PTQ4DM expecially on FID.☆11Aug 30, 2023Updated 2 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