Showing 101-120 of 332 projects
A plotting library for IPython/Jupyter notebooks, providing a simple and powerful API for data visualization.
Interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A machine learning course from the Higher School of Economics in Russia, focused on Jupyter Notebook examples.
A deep learning-based project for creating line art portraits using Jupyter Notebooks.
A comprehensive machine learning and data science course with Jupyter Notebook materials.
Ploomber is a fast and versatile tool for building and deploying data pipelines that can be used with a variety of AI and ML tools.
A collection of lectures on scientific computing with Python, presented as Jupyter Notebooks.
A collection of Jupyter Notebook files focused on data visualization and machine learning concepts.
A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, ideal for data scientists and AI developers.
A code-first introduction to natural language processing (NLP) using Python and Jupyter Notebooks.
An API client package that provides access to the NBA.com APIs for basketball stats and analysis.
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
Machine learning tutorials in Python3 for data science and deep learning
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
This is a repository containing Jupyter Notebooks focused on deep learning and AI/ML topics.
A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.
.NET Interactive allows developers to create notebooks, REPLs, and embedded coding experiences across multiple languages.
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