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

Synthetic Sensor Data Generation Exploiting Deep Learning Techniques and Multimodal Information

Abstract: In recent years, deep learning techniques have revolutionized the field of data generation, including the creation of synthetic sensor data. The ability to generate large quantities of ...
GitHub

Koheesio: A Python Framework for Efficient Data Pipelines

Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...
IEEE

Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery

Abstract: Traffic sensor networks allow convenient collection of travel data that are of great significance for intelligent transportation systems (ITSs). However, the universality of missing data ...