Selamat Hari Raya Idul Adha #Nostr Happy #Eid Mubarak, Eid al-Adha

#NostrFilterRelay modules update 📝 Two dependency modules have been updated with notable changes including: - Basic cache support - Enable CUDA/GPU acceleration support (improve inference/prediction time performance) with CPU fallback (auto) - Security update and bug fixes Relay operators who have self-hosted #NostrFilterRelay can deploy those API instance with the latest release. Alternative language detection module was also available. Module Releases:

GitHub

Release v0.1.0 · atrifat/language-detector-api

What's Changed initial release feat: basic api key authentication by @atrifat in #1 feat: basic cache support by @atrifat in #2 feat: docker image...

GitHub

Release v1.3.0 · atrifat/nsfw-detector-api

What's Changed chore: update dependency by @atrifat in #4 Refactor nsfw detector module and enable cuda support by @atrifat in #5 Full Changelog:...

GitHub

Release v0.2.0 · atrifat/hate-speech-detector-api

What's Changed feat: basic cache by @atrifat in #2 fix: storage issue in github actions space by @atrifat in #3 feat: enable cuda support by @atri...

Kembali berjumpa dengan kawan lama, JupyterLab

Happy to announce that #NostrFilterRelay 🤗 has been migrated into new domain: wss://nfrelay.app We also support natively TOR access with Onion hidden service: ws://nfrelay6saohkmipikquvrn6d64dzxivhmcdcj4d5i7wxis47xwsriyd.onion Please, let us know if you have errors or problems while using the relay. Thank you. 👏 Documentation, features, and user guide:

GitHub

GitHub - atrifat/nostr-filter-relay: A Nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), sentiment, topic, and various rules.

A Nostr relay docker image package which filter content based on content type (SFW/NSFW), user type, language, hate speech (toxic comment), sentime...

👀

Recently I have tried replicate.com for text classification TIL that replicate.com deem every request as 1 second even if our request processing time only need milliseconds. On average 1 request only need around 30-45 ms.