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

Neural Networks: Zero to Hero

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

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

🔊 Text-Prompted Generative Audio Model

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

Optimize prompts, code, and more with AI-powered Reflective Optimization

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

21 Lessons, Get Started Building with Generative AI

Repo for the Complete Agentic AI Engineering Course

Course Files for Complete Python 3 Bootcamp Course on Udemy

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Understanding Deep Learning - Simon J.D. Prince

Repo to accompany my mastering LLM engineering course

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

18 Lessons to Get Started Building AI Agents

Silero Models: pre-trained text-to-speech models made embarrassingly simple

Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform