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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.
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
Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Fully open source: this repo is the Apache-2.0 crawler that p…
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.
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
🎨 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
🧬 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
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