Open Source Jupyter Notebook Tools
Discover 21 open source Jupyter Notebook repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Jupyter Notebook projects here are most often combined with Machine Learning, Education and Python. Last updated October 3, 2026.
21 repositories · updated October 3, 2026
EasyEdit: Edit Knowledge and Steer Large Language Models
EasyEdit is a framework for changing specific knowledge or behavior in large language models and evaluating the effects. It brings together multiple editing and inference-time steering methods for researchers and developers comparing approaches or testing targeted edits.
big_vision: Train and Evaluate Large-Scale Vision Models
Google Research’s JAX and Flax codebase for training and evaluating vision and image-text models on GPUs and Cloud TPUs. It suits researchers running scalable experiments, but project-specific code may not stay compatible with the current core.
OmniParser: Turn Screenshots into GUI Elements
OmniParser parses interface screenshots into structured elements, helping vision-based agents identify and ground actions on screen. It suits developers building computer-use agents that need visual UI understanding.
GenerativeAICourse: Learn Generative AI Through Notebook Labs
A notebook-based course introducing generative AI and practical AI engineering, from LLM fundamentals to chatbots, RAG, agents, and MCP. It is aimed at learners who want guided explanations and hands-on Python exercises.
DataScienceInteractivePython: Learn Data Science Through Dashboards
Interactive Python dashboards let learners explore statistics, machine learning, and geostatistics by changing inputs and observing results. Designed for students and practitioners who benefit from hands-on experimentation.
pytorch-deep-learning: Learn PyTorch Through Hands-On Lessons
A free, code-first PyTorch course for learning deep learning through notebooks, exercises, and projects. It guides beginners from tensor fundamentals to transfer learning, experiment tracking, and model deployment.
FinRL: Research Financial Trading with Reinforcement Learning
FinRL is an educational and research framework for building reinforcement-learning trading agents. It provides a train-test-trade workflow and market data processing, but its maintainers direct production-oriented development to FinRL-Trading.
FinGPT: Adapt Language Models for Financial Tasks
FinGPT provides financial datasets, fine-tuned language models, benchmarks, and workflows for tasks such as sentiment analysis and forecasting. It suits researchers and developers adapting open models to finance, with local GPU inference or supported cloud APIs.
Ollama-OCR: Extract Text from Images and PDFs with Vision Models
Ollama-OCR uses vision-language models served by Ollama to extract text and structured content from images and PDFs. It offers a Python package for single or batch processing and a Streamlit interface for interactive use.