Popular GitHub Repositories for Presence Indicator

The best apps in the AI era aren’t solo experiences—they’re collaborative. Liveblocks provides customizable pre?built features to make your product multiplayer, engaging, and AI?ready. All without derailing your roadmap.

Unified UI and API for processing and training images for facial recognition.

A collection of prompts to challenge the reasoning abilities of large language models in presence of misguiding information

Checks Alexa's top 1M websites for the presence of OpenAI's new .well-known/ai-plugin.json files

[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors

基于WebSockets的Django后台实时协同编辑

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Stock trading based on MACD indicator, using NEAT and naive algorithm

Simple Copilot status indicator for Neovim

A deep learning and computer vision based warning indicator system for the vehicle drivers using live dash-cam footage.

The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1903.02460.pdf research paper. I have performed both binary and multi-class classification to predict the presence of any intrusion-based signal. If present, then which type of signal is present in the network. I have used various techniques like under sampling and over sampling because of the imbalances in the dataset, then train the model using Machine Learning techniques like Logistic Regression, Random Forest, XGBoost. Lastly built a web application and deploy it to AWS using AWS EC2 instance

ASPP: Binaural Speech Enhancement with Atomic Speech Presence Probability Estimation

In this repository, I implement a system for detecting specific spoken words in speech signal. When reading a speech signal, I detect not only the presence, but also the time position of the keyword. For this purpose, I use a CNN-RNN network, with a CTC (Connectionist Temporal Classification) loss function.

Official implementation of "Latent Action Learning Requires Supervision in the Presence of Distractors", ICML 2025

Faceprecision is a comprehensive face analysis project leveraging advanced deep learning and computer vision techniques. This project includes a modules and source codes for detecting and analyzing various facial attributes such as age, emotion, gender, the presence of a mask, race and skin tone.

Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network

TCF-LMO is a network made with dedicated modules to process videos and identify the presence of anomalies in frames. It is composed by: dissimilarity model; a differentiable morphology module; temporal consistency; and classification module.

Image Segmentation for Intensity Inhomogeneity in Presence of High Noise - deformable model