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Published directory entries matching your search.
Franchise is an open-source SQL notebook for desktop. It runs a version of the SQLite engine in the browser, so processing happens locally, and users can load CSV, JSON, or XLSX files by dropping them in. A terminal command sets up a database bridge for connecting to PostgreSQL, MySQL, or BigQuery. Published notebooks can be downloaded as HTML documents.
Dnote is a command-line notebook that stores notes in a SQLite file and provides full-text search. It ships as a single binary without dependencies, works with the user's own text editor, and is free and open source. An optional self-hosted server with a REST API enables syncing notes across devices.
Google AI Pro for Students is a Google program providing free AI training and tools for students. It offers access to Gemini and Gemini Notebook to support exam preparation, writing improvement, and career development. The program includes resources to help students integrate AI into their study workflows.
Sample code and notebooks for Generative AI on Google Cloud.
Notebook by @johnowhitaker exploring Stable Diffusion details.
Handwriting-OCR is a project that tries to create software for recognizing handwritten text from photos, including Czech language, using computer vision and machine learning. Recognition is divided into four steps, from page detection through word separation and normalization to character recognition. It is written in Python 3.6 with Jupyter Notebook, and the repository was archived by its owner.
A freeCodeCamp handbook for developers on organizing AI agents for real business cases. It covers prerequisites, large language models, definitions of AI agents, and a decision algorithm for creating optimal agents, including checking budget, starting with one agent, and measuring performance. It uses a Google Research, Google DeepMind, and MIT paper as its primary source and code examples in a Google Colab notebook.
A GitHub repository holding the notebooks and code for the book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido, together with the mglearn library of helper functions for figures and datasets. The book requires scikit-learn 0.20.0, and the code also needs numpy, scipy, matplotlib, pandas and pillow.
IPython notebooks from Data School's video tutorials on scikit-learn.
A course on generative modelling, currently unfinished, with the first approximately five lessons mostly done. It covers topics such as PyTorch basics, representations, CLIP, GANs, sequence modelling and transformers. No prior deep learning knowledge is assumed, though comfort with some Python and Jupyter Notebooks is expected.
Joplin is a free, open-source note-taking and to-do application that organises notes into notebooks. Notes are stored in Markdown and are searchable, taggable and editable, with offline-first access, end-to-end encryption, plugins and themes, and sync via services including Nextcloud, Dropbox, OneDrive and Joplin Cloud. Apps exist for Windows, Linux, macOS, Android and iOS, plus a Firefox and Chrome web clipper.
Jupyter AI is an open source extension that connects AI agents to computational notebooks in JupyterLab. It provides a native chat UI and integrates agents through the Agent Client Protocol, with a permission system requiring approval before files are written or commands executed. It is under incubation in the JupyterLab organization.
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
This page is the Simple Widget Introduction of the Jupyter Widgets documentation. It describes widgets as eventful Python objects with a browser representation, used to build interactive GUIs for notebooks and synchronize information between Python and JavaScript. It covers display, views, closing widgets, and properties.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts.
Kaggle search for finding datasets, notebooks, competitions, and data science projects.
KBase is the Department of Energy Systems Biology Knowledgebase, a software and data science platform for systems biology. It is intended for bench biologists and bioinformaticians, offering digital notebooks called Narratives for shareable, reproducible workflows with data, visualizations and commentary.
KeyNote NF is a tabbed notebook application that includes a RichText editor, support for multi-level note organization, and strong encryption features. The project is hosted on GitHub and provides reference documentation and contact information for users.
Kubeflow is described as the cloud native AI platform, composed of modular open source projects forming a Kubernetes-native stack for data and AI workloads. Its subprojects include Kubeflow Pipelines for building and deploying portable machine learning workflows, Kubeflow Trainer for distributed AI training and LLM fine-tuning, Kubeflow Katib for automated machine learning, Kubeflow Notebooks for interactive development environments, and Kubeflow Hub for indexing models and metadata. It is a Cloud Native Computing Foundation project.
Kyso was a universal aggregator for all research formats that ceased operation on September 31, 2023, and is now maintained as an open source project. It launched in 2018 to help the data science community share insights and address collaboration challenges across varied workflows and tools, with an initial focus on Jupyter Notebooks. During its operation, it served thousands of users and hundreds of organizations.
Lucent is an adaptation of the Lucid library for PyTorch. It is in a pre-alpha phase and can be installed locally with pip install torch-lucent. Its notebooks can be run via Google Colab or locally with Jupyter.
Lux is a Python library for automated data exploration. When a pandas dataframe is printed in a Jupyter notebook, Lux recommends a set of visualizations highlighting trends and patterns, shown in an interactive widget for browsing and exploring the dataset.
A repository of material for the exercise classes of a Big Data Analytics master course. Hands-on sessions cover Spark and its machine learning library, Map/Reduce implementations of linear regression and alternating least squares, streaming analytics with Recursive Least Squares, and image classification with convolutional neural networks. Material is provided as Jupyter notebooks.
Markor is a lightweight Android text editor for notes and to-do lists, supporting Markdown and todo.txt. It works completely offline, offers syntax highlighting, converts and shares documents as HTML and PDF, and includes an auto-save with undo and redo options. Notes are stored as plaintext files in a notebook folder, and the app has no ads or unnecessary permissions.
