DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club
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Free MLOps course from DataTalks.Club
Examples and guides for using the OpenAI API
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Anthropic's Interactive Prompt Engineering Tutorial
The fastai book, published as Jupyter Notebooks
Repo for the Complete Agentic AI Engineering Course
This is a repo with links to everything you'd ever want to learn about data engineering
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Practice your pandas skills!
A collection of examples that show how to use CrewAI framework to automate workflows.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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.
Python Data Science Handbook: full text in Jupyter Notebooks
GenMedia Creative Studio is a Vertex AI generative media example user experience to highlight the use of Imagen, Veo and other generative media APIs on Google Cloud.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation