What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Skills for AI Evals to compliment the course: AI Evals For Engineers & PMs

A Model Context Protocol (MCP) server that provides programmatic access to the Marimo Documentation.

Fantasy Premier League MCP Server

Semantic DataFrames for humans and agents

The world’s fastest framework for building websites.

This repository contains the Hugging Face Agents Course.

📄 Configuration files that enhance Cursor AI editor experience with custom rules and behaviors

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Fine-tuning of Flan-5T LLM for text classification 🤖 focuses on adapting a state-of-the-art language model to enhance its ability to classify text data.

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Source code and files for Real World Data Science website.

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

🎨 Diagram as Code for prototyping cloud system architectures

An end-to-end implementation of intent prediction with Metaflow and other cool tools

Implementation of Ag-Grid component for Streamlit

Python package for doing RPA

🧬 A JupyterLab extension for annotating data with Prodigy

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

Interactive Layout-Aware Construction of Bespoke Charts

Animation engine for explanatory math videos

Rich is a Python library for rich text and beautiful formatting in the terminal.

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization