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Version of the glob module that supports recursion via **, and can capture patterns.
CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer
A Jupyter Server Extension Providing Support for Y Documents
This is a repo for the Microsoft Learn Student Ambassador Technical Onboarding Process.
A plugin for mkdocs to help you include Jupyter notebooks in your projects
An automated price tracker that uses bright data, playwright, react and flask.
Python library that makes it easy for data scientists to create charts.
Support for jupyter notebook templates in jupyterlab
Add blogging feature to your MkDocs site.
Shiny app for Unsupervised Learning tasks such as Dimensionality Reduction and Clustering.
The long missing library for python confidence intervals
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
🎨 An elegant and juicy material-like theme forked for Azure Data Studio.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open standard for machine learning interoperability
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
🗽 Like yarn outdated/upgrade, but for pip. Upgrade all your pip packages and automate your Python Dependency Management.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
MkDocs plugin to display git authors of a page.
azuredatastudio-postgresql is an extension for Azure Data Studio that enables you to work with PostgreSQL databases
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.
