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Top 23 Jupyter Notebook large-language-model Projects
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A hands-on, end-to-end course on building, evaluating, and deploying LLM applications. Ideal when you want a clear path from spark of an idea to deployment. Link: https://github.com/mlabonne/llm-course
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Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
It’s the full code from the book, with notebooks covering LLM basics, training, and fine-tuning. If you like a guided, notebook-first path from foundations to customization, this feels like a friendly trail map. Link: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
ℹ️ The complete source code is available in this notebook (including all setup details and future updates) under the Apache 2.0 license. You can also directly open the notebook in Colab. This article reproduces all the results generated by a click on “Run all”.
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! (by FoundationVision)
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FinRobot – An open-source AI agent platform specifically for finance.
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Source code of the book: https://github.com/rasbt/reasoning-from-scratch
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GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
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evaluation-guidebook
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
Project mention: Evals in 2025: benchmarks to build models people can use | news.ycombinator.com | 2025-09-17 -
alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
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langkit
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
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KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
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PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
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makeMoE
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source large-language-model projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | LLMs-from-scratch | 98,779 |
| 2 | llm-course | 80,849 |
| 3 | Hands-On-Large-Language-Models | 27,368 |
| 4 | FinGPT | 20,824 |
| 5 | generative-ai | 17,218 |
| 6 | DeepLearningExamples | 14,807 |
| 7 | VAR | 8,705 |
| 8 | Yi | 7,822 |
| 9 | FinRobot | 7,519 |
| 10 | reasoning-from-scratch | 4,703 |
| 11 | GenerativeAIExamples | 4,110 |
| 12 | ReAct | 3,796 |
| 13 | EasyEdit | 2,868 |
| 14 | AI-Engineering.academy | 2,352 |
| 15 | evaluation-guidebook | 2,127 |
| 16 | alpaca_eval | 2,003 |
| 17 | Get-Things-Done-with-Prompt-Engineering-and-LangChain | 1,243 |
| 18 | langkit | 989 |
| 19 | KG_RAG | 939 |
| 20 | ontogpt | 925 |
| 21 | PIXIU | 865 |
| 22 | makeMoE | 803 |
| 23 | train-deepseek-r1 | 774 |
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