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Search: machine-learning-visualized
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Showing 10 results from 226
lutzroeder/netron
GitHub JavaScript MIT LicenseVisualizer for neural network, deep learning and machine learning models
External source
GitHub
clips/pattern
GitHub Python BSD 3-Clause "New" or "Revised" LicenseWeb mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
External source
GitHub
PAIR-code/facets
GitHub Jupyter Notebook Apache License 2.0Visualizations for machine learning datasets
External source
GitHub
microsoft/tensorwatch
GitHub Jupyter Notebook MIT LicenseDebugging, monitoring and visualization for Python Machine Learning and Data Science
External source
GitHub
helblazer811/ManimML
GitHub Python MIT LicenseManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
External source
GitHub
gavinkhung/machine-learning-visualized
GitHub TeX MIT LicenseML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
External source
GitHub
agconti/kaggle-titanic
GitHub Jupyter Notebook Apache License 2.0A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
External source
GitHub
retentioneering/retentioneering-tools
GitHub Python OtherRetentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
External source
GitHub
gopherdata/resources
GitHub Apache License 2.0Resources for Go-based data analysis, visualization, machine learning, etc.
External source
GitHub
dipy/dipy
GitHub Python OtherDIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning,Β statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy includingΒ diffus... Read more
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GitHub
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