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Search: graph-notebook
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Showing 10 results from 65
JoelOtter/kajero
GitHub JavaScript OtherInteractive JavaScript notebooks with clever graphing
External source
GitHub
tomasonjo/blogs
GitHub Jupyter NotebookJupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
External source
GitHub
aws/graph-notebook
GitHub Jupyter Notebook Apache License 2.0Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
External source
GitHub
NirDiamant/Agent_Memory_Techniques
GitHub Jupyter Notebook Apache License 2.0Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
External source
GitHub
arun1729/cog
GitHub Python MIT LicenseEmbedded Graph Database for Python. Lives inside your Python process. Quick setup. No server. Runs in notebooks, apps, even your browser.
External source
GitHub
nstathou/hello-slam
GitHub Jupyter Notebook GNU General Public License v3.0A beginner-friendly SLAM mini-course with Jupyter notebooks โ covering Bayes Filters, Kalman Filters, Particle Filters, and Graph-based SLAM with hands-on Python examples.
External source
GitHub
yWorks/yfiles-jupyter-graphs
GitHub OtherThe home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
External source
GitHub
datastax/graph-book
GitHub ShellThe Code Examples and Notebooks for The Practitioners Guide to Graph Data
External source
GitHub
yonatanmgr/mathberet
GitHub TypeScript MIT LicenseMathberet is a self-hosted digital mathematics notebook written in React and Typescript, designed for math students who need a platform for graphing, sketching, and writing in LaTeX.
External source
GitHub
JayabharathP/The-Python-Mega-Course-Build-10-Real-World-Applications-
GitHub Jupyter NotebookThe Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by fi... Read more
External source
GitHub
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