Found 1,183 repositories(showing 30)
mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
evidentlyai
Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
kubeai-project
AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.
curiousily
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
upgini
Data search & enrichment library for Machine Learning β Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Pantheon-Security
AI-first security scanner with 76 analyzers, 9,600+ detection rules, and repo poisoning detection for AI/ML, LLM agents, and MCP servers. Scan any GitHub repo with: medusa scan --git user/repo
sidhq
Curated collection of AI dev tools from YC companies, aiming to serve as a reliable starting point for LLM/ML developers
Mr-Infect
AI/ML/LLM Penetration Testing Toolkit by Mr-Infect β the #1 GitHub resource for AI security, red teaming, and adversarial ML techniques. This repository is dedicated to offensive and defensive security for cutting-edge AI, Machine Learning (ML), and Large Language Models (LLMs) like ChatGPT, Claude, and LLaMA.
depalmar
Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.
MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.
typper-io
Secure Python sandbox for AI/ML code execution using Docker. Run LLM outputs safely.
RiazML
Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers
corca-ai
[Corca / ML] Automatically solved Gandalf AI with LLM
aisummerofcode
The world's no 1 classroom for incubating AI talent. 4 months of hands-on, no-BS technical training in ML, LLMs and Production AI engineering.
future-ai-org
πΎ resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...
girijesh-ai
Comprehensive ML/AI interview codex with iterative system design, production-ready code, and 2026 standards. Includes LLM/GenAI, RAG systems, agentic AI, and algorithms from scratch.
BjornMelin
π΅οΈββοΈ Privacy-focused AI job scraper, local storage, and interactive dashboard. Auto-scrapes AI/ML roles from top companies using ScrapeGraph-AI + LLM and LangGraph Agents, filters for relevance, and provides a Streamlit UI for tracking applications. Built for developers seeking AI careers.
aisingapore
BMAD AI/ML Engineering Expansion Pack - Streamlined framework for AI Singapore programs (MVP, POC, SIP, LADP) with specialized agents, workflows, and templates for ML/LLM development
aws-solutions-library-samples
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
AbhaySingh71
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .
davidkimai
Agentic Reinforcement Learning 101. A pragmatic course for AI/ML Engineers based on "The Landscape of Agentic Reinforcement Learning for LLMs: A Survey" https://arxiv.org/abs/2509.02547
sreekanth-madisetty
A curated collection of interview questions and expert answers focused on Large Language Models (LLMs). Whether you're preparing for a Data Scientist, ML Engineer, or AI Researcher role, this repository is designed to help you crack interviews confidently in the rapidly evolving world of Generative AI.
diegopacheco
AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
techsparksguru
Data Analysis, Analytics, Science, AI & ML, LLM etc.
ankitsharma-tech
A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.
pwendland
Material for AI Agents workshop at ML Prague 2025 ("A hands-on guide to LLM-based AI Agents)
hoangsonww
π An AI/ML-powered, full-stack job-posting fraud copilot delivering calibrated risk scores, natural-language rationales, interactive chatbot, and real-time insights - powered by ONNX/MLflow exports, classical + transformer ensembles, quantization, Optuna hyperparameter tuning, Google AI LLM, and a sleek Next.js dashboard.
genieincodebottle
A comprehensive AI/ML learning platform with 9 end-to-end projects covering the full spectrum, from classical ML to production LLM systems. Every project follows industry best-practice structure.
bhanukumardev
AI-powered health prediction app with React, FastAPI, PostgreSQL, ML disease prediction, and Groq LLM chatbot
BjornMelin
A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.