Spine Toolbox is an open source Python package to manage data, scenarios and workflows for modelling and simulation. You can have your local workflow, but work as a team through version control and SQL databases.
This project is meant to generate a Local Language Model based on textual input.
Projetos acadêmicos desenvolvidos durante minha busca por aprendizado na área de Ciência de Dados.
Official repository for Spyder - The Scientific Python Development Environment
If you are looking to take your first steps towards learning Computer Vision and AI using OpenCV, this is the best OpenCV course to jumpstart your career.
a anaconda fetcher that interacts with the anaconda repository as a devops tool.
My Python Journey 🐍 Welcome to my Python journey repository! 🚀 As a beginner, I'm excited to share my progress, learnings, and adventures in the world of Python programming. Whether you're a fellow newbie or an experienced coder, I hope you find something valuable here.
Python package for the analysis and visualisation of finite-difference fields.
Python-based domain-specific language for computational magnetism.
🎓 Decompose Korean Component By Using Opencv (Completed)
Volkan Soner Ozsoy
My Python Journey 🐍 Welcome to my Python journey repository! 🚀 As a beginner, I'm excited to share my progress, learnings, and adventures in the world of Python programming. Whether you're a fellow newbie or an experienced coder, I hope you find something valuable here.
OOMMF calculator.
Testing package for computational magnetism tools.
Python script and Jupyter notebook implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
Elyra extends JupyterLab with an AI centric approach.
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
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