1992 Open source projects that are alternatives of or similar to Mldm

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Public repository for the PM4Py (Process Mining for Python) project.

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CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

Notes about programming, advices, algorithms and a lot of good stuff with Java

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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

All Algorithms implemented in R

An open-source, low-code machine learning library in Python

A curated list of fraud detection papers using graph information or graph neural networks

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

A curated list of references for MLOps

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

Practical Data Science with Ruby based tools.

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A proofreader for your data

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

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An undergraduate course on data mining.

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Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

open source for wechat-official-account (ID: PyDataLab)

😎 A curated list of awesome MLOps tools

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

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H2O.ai Machine Learning Interpretability Resources

Companion code for the book "Mastering Social Media Mining with Python"

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A curated list of data mining papers about fraud detection.

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Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

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model-describer : Making machine learning interpretable to humans