antonindurieux

dask

Parallel computing with task scheduling

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

modin

Modin: Scale your Pandas workflows by changing a single line of code

kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

nebuly

The user analytics platform for LLMs

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

sktime

A unified framework for machine learning with time series

cog

Containers for machine learning

dowhy

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 graphical models and potential outcomes frameworks.

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

dtale

Visualizer for pandas data structures

missingno

Missing data visualization module for Python.

neural_prophet

NeuralProphet: A simple forecasting package

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

pandera

A light-weight, flexible, and expressive statistical data testing library

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

tslearn

The machine learning toolkit for time series analysis in Python

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

MLOPs-Primer

A collection of resources to learn about MLOPs.

notebooker

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

xmanager

A platform for managing machine learning experiments

visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

jupyter-scatter

Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!

toy-ml-pipeline

Toy example of an applied ML pipeline for me to experiment with MLOps tools.

TimeEval-algorithms

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

skippa

SciKIt-learn Pipeline in PAndas

EnsaiCloudComputing