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21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
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,…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
12 Lessons to Get Started Building AI Agents
This is a repo with links to everything you'd ever want to learn about data engineering
🔊 Text-Prompted Generative Audio Model
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
A simple screen parsing tool towards pure vision based GUI agent
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Anthropic's educational courses
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
💿 Free software that works great, and also happens to be open-source Python.
Examples and guides for using the Gemini API
QLoRA: Efficient Finetuning of Quantized LLMs
Official inference library for Mistral models
Best Practices, code samples, and documentation for Computer Vision.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A collection of examples that show how to use CrewAI framework to automate workflows.
Tutorials and programming exercises for learning Q# and quantum computing
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…