GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
IEEE

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package

Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...
IEEE

DSConvNet: A Lightweight Architecture for Extracting Image Features From Depthwise Separable Convolution Network for Edge Devices

Abstract: This paper presents DSConvNet, a novel architecture based on depthwise separable convolutional blocks for efficient multi-class image classification. Despite progress in compact ...
Microsoft

Boosting Image Captioning with Attributes

Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing. In this paper, we present Long Short-Term ...
GitHub

High-Resolution Image Synthesis with Latent Diffusion Models

Stable Diffusion is a latent text-to-image diffusion model. For more efficiency and speed on GPUs, we highly recommended installing the xformers library. Tested on A100 with CUDA 11.4. Installation ...