? The experiment tracker for foundation model training
Making large AI models cheaper, faster and more accessible
? Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Low-code programming for event-driven applications
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
An extended table to integration with some of the most widely used CSS frameworks. (Supports Bootstrap, Semantic UI, Bulma, Material Design, Foundation, Vue.js)
Self-hosted YouTube downloader (web UI for youtube-dl / yt-dlp)
Overview of alternative open source front-ends for popular internet platforms (e.g. YouTube, Twitter, etc.)
A comparison of some web frameworks and libs written in Rust
Adding guardrails to large language models.
