100-Days-Of-ML-Code中文版
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Best Practices on Recommendation Systems
The interactive graphing library for Python :sparkles:
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Voilà turns Jupyter notebooks into standalone web applications
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A system for assigning and grading notebooks
Jupyter magics and kernels for working with remote Spark clusters
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Selenium-automated Jupyter Notebook that is synchronised with Neovim in real-time.
A py.test plugin to validate Jupyter notebooks
Pytest in IPython notebooks.
A Cytoscape Jupyter widget
Deep and Machine Learning for Microscopy
Render Jupyter notebook in the terminal
The power of Chart.js with Python
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.