Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
47,133 repositories indexed
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
:octocat: Dark GitHub style with custom syntax themes for code, editors and notebooks
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Media server for comics/mangas/BDs/magazines/eBooks with API, OPDS, Kobo Sync and KOReader Sync support
Calibre-Web but Automated and with tons of New Features! Fully automate and simplify your eBook set up!
📚 Parameterize, execute, and analyze notebooks
Voilà turns Jupyter notebooks into standalone web applications
Automate code & data workflows with interactive Elixir notebooks
Create delightful software with Jupyter Notebooks
An open source extension that connects AI agents to computational notebooks in JupyterLab.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Create beautiful, publication-quality books and documents from computational content.
Plotting library for IPython/Jupyter notebooks
Lectures on scientific computing with python, as IPython notebooks.
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Tools for diffing and merging of Jupyter notebooks.
Directory of free JavaScript ebooks
My own notes (drafts mostly) about software quality
Elyra extends JupyterLab with an AI centric approach.
Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed. Now in Python!