Popular GitHub Repositories for Resisc45

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Building Decision Trees From Scratch In Python

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

Bu pakette Veri Madenciliği'nin kendi yazdığım önemli sınıflandırma algoritmalarından C4.5 - ID3 - Linear Regression ve Twoing algoritmaları bulunmaktadır.

Gemini 2.0、Grok 3、GPT-4.5、Claude 3.7四大AI神仙打架，用代码写贪吃蛇，谁才是编程界天花板？

RESISC45-SigLIP2 is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for multi-label image classification. It is specifically trained to recognize and tag multiple land use and land cover scene categories from the RESISC45 dataset using the SiglipForImageClassification architecture.