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.
Hello, this is DENBUTSU.Are you copying and pasting the stock prices of stocks you're interested in from a brokerage website ...
Set it up before going to bed, and wake up the next morning to find a large number of images ready.I thought it would be ...
Recover photos and videos damaged by STOP/Djvu ransomware (.kook, .coot, .nile, .geno, .moss, .usam, .maas) with local partial reconstruction — no decryption key, no network access. macOS app and ...
Cold storage crypto recovery drill: restore your backup on a second wallet and prove it with a watch-only Python script in 12 ...
Make a Python function available in Calc, run it against the open spreadsheet, and troubleshoot missing macros or imports ...
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...
Pluto Security tracks a Hugging Face cryptominer campaign using malicious Qwen2 models, Python loaders, reverse shells, and ...
A Hugging Face model loaded with trust_remote_code ran a cryptominer, and in some builds a reverse shell. Every scanner ...
Poetry vs uv compared: speed benchmarks, lockfiles, cache commands and why uv sync --locked matters in CI, plus a ...
This project consists of a compact computer, a USB Wi-Fi adapter and an AI model that detect poor connectivity, crowded ...
Gitleaks tutorial: scan git history, block secrets with a pre-commit hook and gate pull requests in GitHub Actions. 12 steps, ...
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