From fd2eeee215f6d8c942d402edf3f9e839e606e2f3 Mon Sep 17 00:00:00 2001 From: Asad Munir Date: Thu, 29 Jan 2026 19:28:13 +0500 Subject: [PATCH] docs: enhance ML library descriptions with additional context --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 0337b4128..027f2fa9a 100644 --- a/README.md +++ b/README.md @@ -736,10 +736,10 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git - [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas. - [RAGFlow](https://github.com/infiniflow/ragflow) - An open-source RAG engine for document understanding and question answering with LLMs. - [rasa](https://github.com/RasaHQ/rasa) - An open-source machine learning framework for automated text and voice-based conversations. -- [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning. -- [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library. +- [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning with extensive documentation and community support. +- [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library for distributed computing. - [Transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pretrained transformer models for NLP, vision, and audio tasks. -- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library. +- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library for efficient ML. ## Microsoft Windows