jhosoume

causalinf_ex_elasticity

A full example for causal inference on real-world retail data, for elasticity estimation

rtjvm-spark-essentials

awesome-mlops

A curated list of references for MLOps

quinn

pyspark methods to enhance developer productivity 📣 👯 🎉

metabase

zenml

ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

zika-data

Data — and pointers to data — related to the 2015–16 Zika virus outbreak.

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

feature-store

Feature Store with Spark Streaming, Kafka, Redis

iterative-stratification

scikit-learn cross validators for iterative stratification of multilabel data

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

modAL

A modular active learning framework for Python

ances

ANCES: a novel method to repair attribute noise in classification problems

ClickHouse

ClickHouse® is a free analytics DBMS for big data

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

lodge

A structured logging package in Python simple to use.

F-RAN_opt-assignment

Optimal RRH-MDC assignments using mixed integer linear programming

SpectralClustering-Algorithm

Machine Learning algorithm (spectral clustering) application using Iris Dataset

ANGES_Extension

ANGES Extension

OptimizationLinearProgramming

Network optimization/Linear programming problems in MatLab

deep-meta-learning

data-viz-catalog

Repo for sharing data viz snippets generated by Loft Data Science team

scikit-posthocs

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

numpy-tutorials

NumPy tutorials & educational content in notebook format

EnsembleDiversityTests

Small collection of Diversity Measures for Ensemble Learning Predictions

DESlib

A Python library for dynamic classifier and ensemble selection

awesome-active-learning

Awesome Active Learning Paper List

born

Generate Borderline Noise for Classification Problems

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.