Showing 41-60 of 109 projects
Interactive Jupyter notebooks for learning the fundamentals of computational fluid dynamics with Python.
An open-source threat hunting platform built on the ELK stack for security researchers and analysts.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A project that reimplements the 'Dive into Deep Learning' book's MXNet examples using TensorFlow 2.0 for vibe coders.
Jupyter notebooks for learning and experimenting with the popular scikit-learn machine learning library.
Interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, ideal for data scientists and AI developers.
An API client package that provides access to the NBA.com APIs for basketball stats and analysis.
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
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
Provides Jupyter Notebook examples to help developers get hands-on with Pinecone vector databases.
A catalog of Jupyter Notebook templates for data and AI projects, organized by tools and following the IMO framework.
A Python library for downloading, parsing, and analyzing health data from Garmin, FitBit, and MS Health.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
Interactive Go programming with Jupyter, enabling data science and machine learning workflows.
A Jupyter notebook environment for terminal-based Python development with a focus on visual and interactive tools.
A collection of tutorials for the MONAI open-source AI framework for medical imaging and research.
A comprehensive resource for learning machine learning and deep learning using Python and popular libraries.
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