alxtee

alxtee's Stars

• Hydra-Designs/project-hydra-meshtastic-pcb

  A minimalist 1W LoRA PCB design for Meshtastic-device firmware

  9313

• szaboz19/ADPD4101_arduino_demo

  Analog Devices ADPD4101 I2C optical measurement chip demo codes modified for arduino

  Language:C1

• docusealco/docuseal

  Open source DocuSign alternative. Create, fill, and sign digital documents ✍️

  Language:Ruby6.1k433

• IsJustJason/openai-assistants-ui

  OpenAI Assistants API Interface, can use custom functions to perform actions on private networks.

  Language:JavaScript3915

• openai/mujoco-py

  MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

  Language:Cython2.8k810

• jay1204/Sensor-based-Activity-Recognition

  Activity Recognition Using Hidden Markov Model

  Language:Matlab11

• bencinoemi/HMM-project

  Human Activity Recognition problem using Hidden-Markov Models.

  Language:Python1

• amrs-tech/Human-Activity-Recognition

  Human Activity Recognition using Continuous Hidden Markov Model

  Language:Jupyter Notebook1

• flian2/human-activity-recognition-hmm

  Human activity recognition using hidden Markov model.

  Language:Jupyter Notebook10

• deeptime-ml/deeptime

  Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

  Language:Python74782

• arturjordao/WearableSensorData

  This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

  Language:Python9626

• scopeInfinity/HumanActivityRecognization

  HumanActivityRecognization using HMM

  Language:Python62

• ani8897/Human-Activity-Recognition

  Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

  Language:Python9641

• Triton-AI/Triton-Racer-Sim

  An autonomous robocar simulation client, designed to work with donkey gym

  Language:Python74

• mit-bwsi-racecar-ms/online-labs

  MIT BWSI Racecar Middle School - Official Python & OpenCV Labs

  Language:Jupyter Notebook29

• perrygeo/pi_sensor_realtime

  Raspberry Pi, analog sensors, websockets and streaming real time plots

  Language:HTML186

• joewalnes/reconnecting-websocket

  A small decorator for the JavaScript WebSocket API that automatically reconnects

  Language:JavaScript4.2k969

• RyanZotti/Self-Driving-Car

  Language:HTML1k327