Popular GitHub Repositories for Active Shooter Incident

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Refine high-quality datasets and visual AI models

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

CheckCle is a self-hosted open-source alternative to UptimeRobot, PagerDuty, Better Stack, and more — offering real-time server & service uptime monitoring, incident, multi-channel alerting.

Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Watcher - Open Source AI-powered Cyber Threat Intelligence & Hunting Platform. Developed with Django & React JS.

Everything you need about Active Learning (AL).

Bayesian active learning library for research and industrial usecases.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deep Active Learning

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Active learning for systematic reviews

Pool-based active learning in Python

MONAI Label is an intelligent open source image labeling and learning tool.

Curated list of open source tooling for data-centric AI on unstructured data.