hugobettmach's Stars
Azure/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
readthedocs/sphinx-autoapi
A new approach to API documentation in Sphinx.
spatialaudio/nbsphinx
:ledger: Sphinx source parser for Jupyter notebooks
pydata/pydata-sphinx-theme
A clean, three-column Sphinx theme with Bootstrap for the PyData community
carlos-jenkins/autoapi
Automatic Python API reference documentation generator for Sphinx, inspired by Doxygen.
vidartf/nbsphinx-link
A sphinx extension for including notebook files from outside sphinx source root.
equinor/gordo
An API-first distributed deployment system of deep learning models using timeseries data to predict the behaviour of systems
nteract/papermill
📚 Parameterize, execute, and analyze notebooks
arundo/tsaug
A Python package for time series augmentation
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
equinor/data-science-template
A starter template for Equinor data science / data engineering projects
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
vecxoz/vecstack
Python package for stacking (machine learning technique)
Teradata/dlispy
kinverarity1/lasio
Python library for reading and writing well data using Log ASCII Standard (LAS) files
equinor/segyio
Fast Python library for SEGY files.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
shap/shap
A game theoretic approach to explain the output of any machine learning model.
bolgebrygg/MalenoV
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media