From 492c34ad1903f15c25170c02f2d3fc49f06938c7 Mon Sep 17 00:00:00 2001 From: Samxss Date: Wed, 27 May 2026 22:13:18 -0500 Subject: [PATCH] docs: add scikit-lego to Machine Learning section Added scikit-lego library to the Machine Learning category keeping strict alphabetical order. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index f83de0ba0e..14da58c6fe 100644 --- a/README.md +++ b/README.md @@ -190,6 +190,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git - [mindsdb](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. - [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks. - [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support. +- * [scikit-lego](https://github.com/koaning/scikit-lego) - A collection of lego bricks for scikit-learn pipelines. - [spark.ml](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/)'s scalable [Machine Learning library](https://spark.apache.org/docs/latest/ml-guide.html) for distributed computing. - [TabGAN](https://github.com/Diyago/Tabular-data-generation) - Synthetic tabular data generation using GANs, Diffusion Models, and LLMs. - [timesfm](https://github.com/google-research/timesfm) - A pretrained foundation model from Google Research for time-series forecasting.