Awesome Python Data Science

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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

A unified framework for machine learning with time series

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Distributed Asynchronous Hyperparameter Optimization in Python

A scikit-learn compatible neural network library that wraps PyTorch

mlpack: a fast, header-only C++ machine learning library

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Python Toolkit for Causal and Probabilistic Reasoning

Sequential model-based optimization with a `scipy.optimize` interface

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

🏕️ Reproducible development environment for humans and agents

Clean APIs for data cleaning. Python implementation of R package Janitor

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

ML powered analytics engine for outlier detection and root cause analysis.

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