Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process ... due to architectural and training differences across models. Without tailored optimization, prompt ...

This project implements an image colorization model using a Generative Adversarial Network (GAN) with semantic feature extraction from Inception-ResNet-v2, as described in the paper by Beyer Bruvik ...

This project applies Denoising Diffusion Probabilistic Models (DDPM) to the task of automatic colorization of flower images with MLOps Pipeline. By learning a diffusion-based generative process, the ...

Abstract: Multi-objective optimization problems (MOPs) are ubiquitous in real-world applications, presenting a complex challenge of balancing multiple conflicting objectives. Traditional ...

both of which are formulated as constrained optimization problems. While the sum rate problem is convex and solvable using standard optimization techniques, the energy efficiency problem is non-convex ...

Energy and reagent consumption optimization: AI systems use optimization algorithms to balance energy and reagent usage in the plant, improving the cost-effectiveness of mineral processing. Ore blend ...

Colourise features a simple and user-friendly interface, making it easy for anyone to use, regardless of their technical expertise. In addition to colorization, the tool also offers basic photo ...