KishManani
Data science and machine learning lead, open source contributor, and online course developer.
London, UK
KishManani's Stars
online-ml/river
🌊 Online machine learning in Python
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
unionai-oss/pandera
A light-weight, flexible, and expressive statistical data testing library
MrPowers/chispa
PySpark test helper methods with beautiful error messages
mrpowers-io/spark-style-guide
Spark style guide
iusztinpaul/energy-forecasting
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
twosigma/flint
A Time Series Library for Apache Spark
zalandoresearch/ACIC23-competition
Data for and description of the ACIC 2023 data competition
KishManani/sktime
A unified framework for machine learning with time series
uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
alphagov/govuk-rfcs
GOV.UK staff use this repository as a forum to discuss and make technical decisions
WyattBlue/auto-editor
Auto-Editor: Efficient media analysis and rendering
esa/pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
melissawm/minimalsphinx
A repo with a minimal Sphinx example for Python documentation.
tidyverts/tsibbledata
Example datasets for tsibble
nbQA-dev/nbQA
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
PyCQA/flake8-bugbear
A plugin for Flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycodestyle.
sktime/sktime
A unified framework for machine learning with time series
multimeric/PandasSchema
A validation library for Pandas data frames using user-friendly schemas
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
esa/pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
gcampanella/pydata-london-2018
Slides and notebooks for my tutorial at PyData London 2018