From 4dc3322bf5f43e15f25cb90616c2eda34b40aaed Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Robson=20Bayer=20M=C3=BCller?= Date: Thu, 26 Mar 2026 17:07:28 -0300 Subject: [PATCH] Add datatrax to Machine Learning section (#6161) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 2ef90190..c7d4ab33 100644 --- a/README.md +++ b/README.md @@ -1681,6 +1681,7 @@ _Libraries for Machine Learning._ - [born](https://github.com/born-ml/born) - Deep learning framework inspired by Burn (Rust), with autograd, type-safe tensors, and zero-CGO GPU acceleration. - [catboost-cgo](https://github.com/mirecl/catboost-cgo) - Fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model. - [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go. +- [datatrax](https://github.com/rbmuller/datatrax) - Data engineering and classic ML toolkit with batch processing, type coercion, and 7 algorithms in pure Go with zero dependencies. - [ddt](https://github.com/sgrodriguez/ddt) - Dynamic decision tree, create trees defining customizable rules. - [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library. - [evoli](https://github.com/khezen/evoli) - Genetic Algorithm and Particle Swarm Optimization library.