microsoft / generative-ai-for-beginners
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
microsoft / generative-ai-for-beginners
microsoft / ai-agents-for-beginners
An 18-lesson beginner course with code samples on building AI agents using Microsoft's agent frameworks and services.
anthropics / claude-cookbooks
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
DataTalksClub / data-engineering-zoomcamp
A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
Liquid4All / cookbook
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
ed-donner / llm_engineering
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
NirDiamant / agents-towards-production
Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
pyannote / pyannote-audio
Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.
DataTalksClub / llm-zoomcamp
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
GoogleCloudPlatform / generative-ai
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
py-why / EconML
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.
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
benman1 / generative_ai_with_langchain
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.
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
HugoBlox / hugo-theme-academic-cv
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
bragai / bRAG-langchain
Everything you need to know to build your own RAG application
buildfastwithai / gen-ai-experiments
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
towardsai / ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
terrier-org / pyterrier
A Python framework for performing information retrieval experiments, building on http://terrier.org/
imdigitalashish / gpt-from-scratch
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
Harrypatria / Agentic-AI-Masterclass-Handbook-Usecases-Convergeni
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch β the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
StudyBuildCommunity / studybuild-customer-analysis-02
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
StudyBuildCommunity / studybuild-data-cleaning-01
Project 01: Data Cleaning on a Real E-commerce Dataset
aws / amazon-sagemaker-examples
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
datawhalechina / happy-llm
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.
karpathy / nn-zero-to-hero
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.