Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.
☆19Sep 11, 2020Updated 5 years ago
Alternatives and similar repositories for Human-Activity-Recogntion
Users that are interested in Human-Activity-Recogntion are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The objective is to process by generating textual description from an image – based on the objects and actions in the image. Using genera…☆27Dec 17, 2021Updated 4 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Feb 22, 2018Updated 8 years ago
- U-Net for BDD100K Dataset☆13Jan 1, 2019Updated 7 years ago
- My knowledge skilltree as a living evolvin structure of topic based lab folders☆12Nov 22, 2016Updated 9 years ago
- Deep learning models for classifying ECG time series☆12Jul 28, 2022Updated 3 years 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.
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- Code repository for the CoRL 2021 paper "RoCUS: Robot Controller Understanding via Sampling"☆11Mar 24, 2022Updated 4 years ago
- Text generation using LSTM model in keras with Thirukural☆11Nov 17, 2023Updated 2 years ago
- Git Repository for the ContextVLM paper and the DrivingContexts dataset☆14Sep 13, 2024Updated last year
- ☆12Dec 11, 2020Updated 5 years ago
- We propose using Probabilistic Graphical Models such as Bayesian Networks and Hidden Markov Models to construct a global-macro trading st…☆13Apr 28, 2018Updated 8 years ago
- Uses an LSTM to predict the next days stock movement based on sequence of previous days☆13Mar 9, 2021Updated 5 years ago
- This project explores using machine learning methods for detection of Parkinson's disease using an individual's speech.☆15Nov 18, 2019Updated 6 years ago
- This project enables to visualize NuScene data such as Point Cloud data for Radar, Lidar and Images captures using various sensors☆11Feb 4, 2021Updated 5 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.
- Applied Finance Project from UCLA Anderson, using natural language processing techniques to classify and summarize quantitative finance r…☆18Dec 24, 2018Updated 7 years ago
- Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars☆17Sep 8, 2019Updated 6 years ago
- Indoor navigation using deep Q reinforcement learning☆16Aug 10, 2018Updated 7 years ago
- Bayesian Optimization implementation for text classifiction☆23Jul 25, 2024Updated last year
- As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and prom…☆12Aug 2, 2020Updated 5 years ago
- Télécom Paris | MS Big Data | SD 701 | Big Data Mining Course Project using Spark and Google Colab for building Scalable Recommender Syst…☆21May 21, 2023Updated 3 years ago
- Bayesian LSTM for time-series prediction.☆19May 28, 2020Updated 6 years ago
- Our work on Reinforcement learning that we share with the rest of the world☆13Jan 7, 2019Updated 7 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Dec 31, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 📚 A collection of resources and papers on Large Language Models in autonomous driving☆27Oct 30, 2023Updated 2 years ago
- HTSM Masterwork☆19Mar 31, 2025Updated last year
- 3D object detection on the nuScenes dataset☆27Aug 21, 2021Updated 4 years ago
- Open MMLab Detection Toolbox with PyTorch☆12Jun 11, 2019Updated 7 years ago
- Binary classification of multivariate time series data using LSTM and XGBoost☆26Jan 16, 2019Updated 7 years ago
- Deep neural net to identify speakers from a sample of their speech: LibriSpeech corpus.☆21Oct 9, 2016Updated 9 years ago
- Implementation of RetinaNet (focal loss) by TensorFlow (object detection)☆16Nov 29, 2019Updated 6 years ago
- Topics related to Deep Learning☆12Jul 6, 2023Updated 2 years ago
- Hamiltonain Monte Carlo in Python☆40Nov 7, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Exploring Large Language Models for Trajectory Prediction: A Technical Perspective☆29Jun 12, 2024Updated 2 years ago
- Short and long time series classification using convolutional neural networks☆41Apr 9, 2016Updated 10 years ago
- Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications …☆11Aug 8, 2018Updated 7 years ago
- Chapter-wise notebooks for the book 'Practical Natural Language Processing'☆10Apr 21, 2020Updated 6 years ago
- some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles☆28Mar 4, 2020Updated 6 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Nov 16, 2021Updated 4 years ago
- Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K☆29Apr 10, 2019Updated 7 years ago