🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.
Evolve your OpenCV Image Processing filters using Cartesian Genetic Programming
CIFNet: A lightweight, single-pass Class Incremental Learning model designed for edge devices. Minimizes training time, energy consumption, and memory usage, making it ideal for real-time, resource-constrained environments.
This repository contains the code and data of the paper titled "FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution."
PyTorch implementation of the "Reducing inference energy consumption using dual complementary CNNs" paper published in FGCS journal.
An open and practical guide to Edge Audio.
An open and practical guide to Edge Language
A curated collection of Edge AI courses for everyone
This repository contains the PyTorch implementation of the paper "Selecting Images With Entropy For Frugal Knowledge Distillation'" published in IEEE Access.
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