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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A collection of various deep learning architectures, models, and tips
📡 Simple and ready-to-use tutorials for TensorFlow
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
Visualizations for machine learning datasets
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Useful functions, tutorials, and other Python-related things
A python library for decision tree visualization and model interpretation.
Code, data, and instructions for mapping orbits of asteroids in the solar system
Python Helper library for Jupyter Notebooks
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
python partial dependence plot toolbox
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Global shoreline mapping tool from satellite imagery
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
A minimal Jupyter Notebook theme