Popular GitHub Repositories for Security Analytics

Opiniated RAG for integrating GenAI in your apps ? Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

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.

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

A collection of libraries to optimise AI model performances

? Rybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive.

:octocat: Machine Learning for Cyber Security

Alluxio, data orchestration for analytics and machine learning in the cloud

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Flower: A Friendly Federated AI Framework

A code-first agent framework for seamlessly planning and executing data analytics tasks.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

the LLM vulnerability scanner