DataTalksClub / data-engineering-zoomcamp

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

datawhalechina / deepagents-in-action

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

The-Art-of-Hacking / h4cker

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

ed-donner / agents

Repo for the Complete Agentic AI Engineering Course

shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing

This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.

hemansnation / AI-Engineer-Headquarters

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

NirDiamant / Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

cantaro86 / Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

apache / hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

damaiqiangpiao / damai

Damai Maoyan Piaoxingqiu ticket grabbing tech community | Android reverse engineering Frida hook ticket monitor | QQ 955767910

Ramakm / AI-Engineering

A group of notebooks and other files which can help you learn AI from scratch.

peterdsharpe / AeroSandbox

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

calmrocks / ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

cksystemsteaching / selfie

An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

datawhalechina / torch-rechub

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

Cyb3r-Monk / Threat-Hunting-and-Detection

Repository for threat hunting and detection queries, etc. for Defender for Endpoint and Microsoft Sentinel in KQL(Kusto Query Language).

navaneethkrishnansuresh / Inference-Engineering

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HugoBlox / hugo-theme-academic-cv

🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇

google / earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

planetlabs / notebooks

interactive notebooks from Planet Engineering

superlinked / VectorHub

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Nicolepcx / harness_engineering

This is the corresponding code for the O'Reilly book: Harness Engineering

TaroYamada08 / Hacker

This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

RichmondAlake / agent_harness_course

Technical companion to the O'Reilly Harness Engineering for AI Agents workshop

Jev-Engineering / cookbook

Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control

MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials

Multi-agent systems, memory, planning, reasoning loops

shivammehta25 / Matcha-TTS

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

fabiofurini / operations-research-lab

Operations Research Lab — continuous optimisation models for Management Engineering: lecture notes, Python/Gurobi code, data and case studies (English version)

arjun988 / promptModel

PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions

Abhishekravindran / LLM_Engineering_opensource

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curiousily / AI-Bootcamp

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)

BrightPool / udemy-prompt-engineering-course

Content for the Udemy Prompt Engineering Course

Q-transmon-xmon / EDA-Q

EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. The platform enables researchers and engineers to efficiently design, simulate, and optimize quantum chips.

DataExpert-io / data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

karpathy / micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API