CatBoost tutorials repository
APACHE-2.0 License
[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
Digital Signal Processing - Theory and Computational Examples
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
A scalable genome browser. Apache 2 licensed.
A Machine Learning API with native redis caching and export + import using S3. Analyze entire dat...
JupyterLab computational environment.
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Co-Coder is a Python package that streamlines error debugging from Open AI chat GPT and Google Ba...
Interactive Widgets for the Jupyter Notebook
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples...
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython /...
Jupyter widget for the dynamic and static visualizations of systems biology models written in PyS...
What if GPT could help you notebook?
Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython exper...