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Search: python-tutorial-notebooks
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Showing 10 results from 54
howesa/CHI22-CogMod-Tutorial
GitHub Jupyter Notebook GNU General Public License v3.0CogMod-Tutorial is a set of Python Jupyter Notebooks designed as an introduction to cognitive modelling in Human-Computer Interaction.
External source
GitHub
neurohackweek/python-for-scientists
GitHub Jupyter NotebookNotebooks for NHW2017 tutorial "Programming in Python"
External source
GitHub
krisograbek/LangChain_Tutorials
GitHub Jupyter Notebook MIT LicenseA collection of Python notebooks with tutorials for the LangChain Library.
External source
GitHub
MedicalImageAnalysisTutorials/ImageRegistrationTutorial
GitHub Jupyter Notebook MIT LicenseThis project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correcti... Read more
External source
GitHub
chadlimedamine/Background-Changer
GitHub Jupyter Notebook MIT LicenseThese python Jupyter notebooks are a step by step Tutorials to illustrate how to create an automatic background changer for images and videos that has a Green Screen background using NumPy, MatplotLib, OpenCv and MoviePy libraries.
External source
GitHub
luispedro/python-image-tutorial
GitHub Jupyter NotebookPython image tutorial (based on ipython notebooks)
External source
GitHub
PadraigC/FeatSelTutorial
GitHub Jupyter NotebookPython notebooks for the tutorial paper on feature selection
External source
GitHub
bendoesdata/make-a-gif-map-in-python
GitHub Jupyter NotebookTutorial notebook showing how to make a gif map in Python using Geopandas, Matplotlib and ImageMagick
External source
GitHub
MalayAgr/real_python_data_cleaning_tutorial
GitHub Jupyter NotebookCompanion notebook for Real Python's Data Cleaning Tutorial
External source
GitHub
kfinc/nilearn-task-networks
GitHub Jupyter NotebookTutorials for task-based activation and network analysis using Python based modules: Nilearn and Nistats. Notebooks prepared on Neurohackademy 2018 (http://neurohackademy.org/).
External source
GitHub
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