Scenario-driven simulator for async distributed systems: declare topologies, run simulations, measure latency/throughput, resource usage and see where bottlenecks emerge.
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Updated
Sep 20, 2025 - Python
Scenario-driven simulator for async distributed systems: declare topologies, run simulations, measure latency/throughput, resource usage and see where bottlenecks emerge.
✨Amazon Bedrock wrapper for inference-time LLM techniques
Digital Circuit Optimization using low-power techniques such as registering, clock gating and hybrid approach.
Repositório dedicado as disciplinas lecionadas pelo Professor Giuliano Bertoti
Design and analysis of 6T SRAM memory cells using LTspice. Analysis of noise margin, Vdd scaling and data retention voltage for design optimization.
This repository contains the resources and codebase for a research project aimed at predicting breast cancer cases using data from the KNUST hospital.
U-M MADS: Milestone Project | ML-powered system that detects and classifies racial bias in news articles using supervised and unsupervised learning techniques, to provide comprehensive bias analysis.
.m, .MAT, .PDF, .XLS files for "Canonical host-pathogen tradeoffs subverted by mutations with dual benefits"
Evaluating pulumi for Infrastructure as Code with dotnet
Tradeoff analysis for flood adaptation pathways in Ortley Beach, New Jersey
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