An unofficial desktop client for JellyfinJellium Desktop An unofficial Jellyfin desktop client built on CEF and mpv. Downloads Linux AppImage x86_64 aarch64 Arch Linux (AUR): jellium-desktop-git Flatpak (non-Flathub bundle) macOS Apple Silicon Intel After installing, remove quarantine: sudo xattr -cr /Applications/Jellium\ Desktop.app Windows x64 arm64 Development This project uses just as a command runner. Available recipes: [package] appimage ... # [linux] build AppImage …
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations A Flexible Framework for Experiencing Cutting-edge LLM Inference/Fine-tune Optimizations 🎯 Overview | 🚀 Inference | 🎓 SFT | 🔥 Citation | 🚀 Roadmap(2026Q2) 🎯 Overview KTransformers is a research project focused on efficient inference and fine-tuning of large language models through CPU-GPU heterogeneous computing. The project now exposes two user-facing capabilities from the kt-kernel sour…
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta. Local-first web intelligence for AI agents — no keys, no cloud, no metered bill. works with Claude Code · Cursor · Codex · Gemini CLI · VS Code · Windsurf · Zed · Antigravity and beyond LangChain · CrewAI · LlamaIndex · Vercel AI SDK · n8n & self-hosted agents · any MCP client · plain REST Quickstart · Tools · Why wigolo · Benchmark · Docs · …
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cwc-workshops Workshop materials. Not maintained and not accepting contributions. Materials from Anthropic-run Code with Claude workshops. Workshops rightmodel/ — Picking the Right Model: use a Claude Code SKILL to audit an LLM eval suite and sweep it across models and inference parameters (extended thinking, effort) to find the best quality-per-dollar and quality-per-second configuration. agent-decomposition/ — Compose Multi-Agent Systems with Skills and MCP: decompose a 400-line-prompt inv…
Skills for Design EngineersUI Skills Skills for Design Engineers More on ui-skills.com Run npx ui-skills start to route your agent through the right UI skill set for the task. CLI npx ui-skills npx ui-skills start npx ui-skills categories npx ui-skills list --category motion npx ui-skills get baseline-ui License Licensed under the MIT license.
Bonsai DemoBonsai Demo Website | GitHub | Discord HF Collections: Bonsai 27B · Bonsai (1-bit) · Ternary-Bonsai Whitepapers: Bonsai 27B · 1-bit Bonsai 8B · Ternary-Bonsai 8B Using this demo repository you can run Bonsai (1-bit) and Ternary-Bonsai language models locally on Mac (Metal), Linux/Windows (CUDA, Vulkan, ROCm), or CPU. 🌱 New: Bonsai 27B The family's newest and largest generation, and its first vision-language models (Bonsai 27B collection): Vi…
Apache Ossie, industry wide specification effort to standardize how we exchange semantic metadata across analytics, AI and BI platforms, providing a vendor neutral, single source of truth for semantic data Apache Ossie (incubating) Apache Ossie is a collaborative, open-source effort dedicated to standardizing and streamlining semantic model exchange and utilization across the diverse array of tools and platforms within the data analytics, AI, and BI ecosystem. Our shared vision is to establish …