🚀 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.
PyTorch implementation of the "Reducing inference energy consumption using dual complementary CNNs" paper published in FGCS journal.
This repository contains the PyTorch implementation of the paper "Selecting Images With Entropy For Frugal Knowledge Distillation'" published in IEEE Access.
A curated collection of Edge AI courses for everyone
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