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Zoho Notebook is a note-taking app for iOS and Android that syncs notes across devices from anywhere. The app is available on mobile devices and can be downloaded for free from the App Store and Google Play. It is also listed among offerings available on all devices, with downloads available from the Apple Mac Store, Microsoft and Linux.
JupyterLab is an extensible notebook authoring application and editing environment within Project Jupyter. A notebook combines code, text descriptions, data and visualizations. JupyterLab provides an environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas. It is a sibling to Jupyter Notebook and Jupyter Desktop and is described as offering a more advanced, customizable experience than Jupyter Notebook.
Notebooks.azure is a developer resource for coding, documentation, communities, security research, or software tools.
Notebook.ai is a gaming tool for game fixes, launchers, mods, status checks, cloud gaming, or utilities.
NotebookCast is a free online collaborative whiteboard that does not require signup to start using. It supports real-time multi-user drawing, includes built-in time-unlimited audio and video calls, and provides tools such as shape drawing, sticky notes, text editing, and screen sharing. Users can create reusable whiteboard templates, access night mode, and share whiteboards via links. A free registered account allows saving whiteboards to a personal dashboard, and the tool works on any modern browser.
Gemini Notebook supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Jupyter Notebook is a web-based interactive computing platform combining live code, equations, narrative text, visualizations, and dashboards. It supports over 40 programming languages, including Python, R, Julia, and Scala, and notebooks can be shared via email, Dropbox, GitHub, and the Jupyter Notebook Viewer.
MindForger is a desktop application for Linux presented as a thinking notebook and Markdown editor for personal knowledge management. It stores notes in Markdown, computes associations between notes locally, and automatically turns notebook and note names in text into links in the preview. It is also available for other platforms through packages listed in its installation documentation.
NotebookLM supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open Notebook is an open-source, AI-powered note-taking and research platform focused on user privacy. It includes a podcast generator that transforms notes into customizable audio content, AI tools for summarizing notes and generating insights, granular privacy controls for AI data access, and support for integrating links, PDFs, text files, presentations, YouTube videos and other content types. The platform is designed for researchers, students, and learning enthusiasts.
r/notebooklm points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
this VQGAN+CLIP Animations notebook creates or edits images with generative AI and text-based controls.
Google notebook environment for running Python code, experiments, data analysis, and research workflows.
Google notebook environment for running Python code, experiments, data analysis, and research workflows.
Google Colab notebook for colorizing old video using DeOldify-style AI processing.
A guide to MLOps is an open-source tutorial from the Swiss AI Center team that walks engineers and small teams from notebook experiments to production. It covers local training and model evaluation, moving the model to the cloud, serving and deploying, monitoring and maintaining, and labeling data and retraining, using tools such as DVC, Git, GitHub Actions, CML, Docker, BentoML, Fluent Bit, Evidently AI, and Label Studio.
A page by pharmapsychotic collecting tools and resources for AI art, organized into sections such as text to image, upscaling, StyleGAN, text video, prompt engineering and music. It links to shared Google Colab notebooks for text-to-image work with pre-trained GAN and diffusion models, and notes Stable Diffusion WebUI for running SD locally.
Anaconda is a platform for Python, data science, and AI development. Its core is conda, an open-source package and environment manager that installs software, resolves dependencies, and isolates projects. Two installers are offered: Anaconda Distribution, which bundles conda, Python, Anaconda Navigator, and hundreds of packages, and Miniconda, a minimal base environment. Anaconda Notebooks is a cloud-based JupyterLab environment.
Apache Zeppelin is a web-based notebook for data-driven, interactive data analytics and collaborative documents with SQL, Scala, Python, R and more. It uses interpreters to plug in language and data-processing backends, including built-in Apache Spark integration, and includes basic charts, pivot charts, dynamic forms and paragraph publishing to embed results in websites.
Bodywork is a command line tool that deploys machine learning pipelines to Kubernetes, handling containers and orchestration. Any pipeline stage runs either a batch job or a long-running process. It is presented as a lightweight alternative to Kubeflow or building a platform around workflow tools such as Apache Airflow, Argo Workflows or Dagster. Stages are defined as Python modules or Jupyter notebooks and configured in a single bodywork.yaml file.
Bokeh is a Python library for creating interactive plots, dashboards, and data applications in modern web browsers. Plots can go in Jupyter notebooks, be saved as standalone HTML, or run with live Python callbacks through the Bokeh server or embedded in an ASGI app. It includes tools for pan, zoom, hover, and selection.
A blog post explaining CLIP, a transformer model from OpenAI that matches text embeddings with image embeddings. It offers high-level prompt engineering tips for generative art and includes over 3500 prompt output examples, along with a section of Colab notebook links.
Web Clipper is an open source browser extension for saving content from the web to a notebook platform. It reduces clutter by clipping only the article, recipe, or product information needed.
DAIR.AI is a GitHub organization that states it aims to democratize AI research, education, and technologies. Its repositories include a prompt engineering guide covering guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents, and AI-Papers-of-the-Week, which highlights top machine learning papers each week.
