sglang-omni
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
HYSEN LABS VERZEICHNIS
Kuratierte Repositories mit präziser Taxonomie, geprüften Metadaten und praktischem Kontext.
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
Try all the 10 use cases and see what the Rubber Duck can do!
复刻网站的 Agent Skill:抓只读镜像、从压缩代码逐行还原、自动比对验收。An agent skill that mirrors a website, rebuilds it from the minified code, and verifies the result with automated diffs.
25× faster drop-in replacement for `cn`
The most Token-efficient open-source AI Agent
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Open Source Uptime Kuma Alternative
Instant SECURE Full Stack Apps and AI Agents
The tool to avoid various issues due to inconsistencies and inefficiencies between a database schema and application models.
A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.
We built an adversarial codespace setup. Place any AI agent into a normal workflow inside it, and the agent will fill in whatever is missing.
Powerful and easy to use cms to build websites, blogs or ecommerce stores.
Review code 100X faster. Lens draws every PR as animated architecture and data-flow walkthroughs, inside the pull request itself. Use it as a GitHub App, GitHub Action, CLI, or a skill for your coding agent
Eigenständiger CliProxyAPI-Nutzungs-Tracker mit SQLite-Persistenz und integriertem Dashboard.
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
The SQLite of agent sandboxes — self-hosted, E2B-compatible. One machine, sandboxes that live forever, idle costs nothing.
🛠️ Self-Hosted ephemeral macOS CI on Apple Silicon
Projektüberblick: Die Kollaborationsebene für Ihre KI-Belegschaft. Führen Sie ein Team von KI-Agenten, die sich per E-Mail koordinieren, den Speicher teilen und mit jeder Aufgabe besser werden.
Collection of various algorithms implemented in R.
list of awesome platforms, tools, and resources run for LLMs locally