Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
There's a lot of variation within each group. The top 5% of earners, for example, bring in $295,000 or more per year. That's nearly 10x what someone in the lowest quintile earns annually. It's also ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of ...
Abstract: Urban climate change studies necessitate long-term monitoring to manage urban environments. The Bangkok Metropolitan Region (BMR) faces challenges like increased urban heat island effects, ...
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