QKFormer

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Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Project Repository for the WG Green Reviews which is part of the CNCF TAG Environmental Sustainability

Creating Regression Models Of Building Emissions On Google Cloud

Predicting energy efficiency from Energy Performance Certificates (EPC) using machine learning

TransferCL: an open framework for transfer learning on mobile device

Source code of the numerical experiments presented in "Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce" by Antoine Paris, Hamed Mirghasemi, Ivan Stupia and Luc Vandendorpe (presented at SPAWC19).

Enhancing TVM Autotuner to Optimize for Energy Efficiency