Awesome Python Data Science

A library of metrics for evaluating recommender systems

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Module for statistical learning, with a particular emphasis on time-dependent modelling

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/pandas-gbq

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Solve automatic numerical differentiation problems in one or more variables.

A pure Python implementation of Apache Spark's RDD and DStream interfaces.

A library for augmenting annotated audio data

A fast xgboost feature selection algorithm

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

Build, test, deploy, iterate - Dev and prod tool for data science pipelines

Universal 1d/2d data containers with Transformers functionality for data analysis.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠