This project, SMED, is a tool designed to analyze the emotional content of Instagram posts. It uses machine learning models to classify emotions and displays the results on a user-friendly dashboard.
My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional elements of Android apps and ...
Cold storage crypto recovery drill: restore your backup on a second wallet and prove it with a watch-only Python script in 12 ...
Reproduce inference time and GPU memory of the released MMedPO medical VLMs (LLaVA-Med v1.5 + MMedPO LoRA) on VQA-RAD, SLAKE and IU-Xray - SMShovan/mmedpo-inference-benchmark ...
Tsinghua's HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
AI coding agents can use developer credentials, run commands and try alternatives after security blocks. Their actions cross ...
10h
A Concept for Creating Signage That Reacts to People Using Raspberry Pi and Millimeter-Wave Radar
I have been thinking about a concept to transform digital signage from a "screen that just plays content" into a "screen that reacts to the people in front of it," as an extension of Promovolve. A ...
Discover how Open Cosmos connects Earth observation, onboard processing, and satellite communications to turn orbital data ...
This project consists of a compact computer, a USB Wi-Fi adapter and an AI model that detect poor connectivity, crowded ...
Overview: Python leads popularity indexes thanks to its widespread use in AI, machine learning, data science, and ...
The Kenyan SME ERP SokoFlow added structured failure handling, a Redis-based daily cap, and an interaction logger to its ...
KoboldCpp has expanded its music and speech capabilities in the v1.124 release cycle, bringing more creative workloads into ...
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