Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here ππΌ
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here ππΌ
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
End-to-end project training and building AI models / LLMs to detect AI-written text
π Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor β free to host forever. ε¦ζ―δΈ»ι‘΅οΌAI ηζοΌMarkdown ζ₯ζ π
Everything you need to know to build your own RAG application
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
Repository for the "Building LLMs for Production" book by Towards AI.
MonsterUI is a FastHTML Tailwind-powered UI framework for building beautiful web interfaces with minimal code.
A Python framework for performing information retrieval experiments, building on http://terrier.org/
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
Build a World Model from Scratch β the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
Project 01: Data Cleaning on a Real E-commerce Dataset
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
Neo4j graph construction from unstructured data using LLMs