Lists (13)
Starred repositories
1862
results
for source starred repositories
Clear filter
Simple Tidal frontend. Also on tidal.squid.wtf and tidal.qqdl.site
Unified dashboard for managing multiple Sonarr, Radarr, and Prowlarr instances
macOS and iOS profiles to configure our DNS over TLS and DNS over HTTPS service. Can be applied with human interaction, or via MDM.
LEAKED SYSTEM PROMPTS FOR CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, DEVIN, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
Kimi K2 is the large language model series developed by Moonshot AI team
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
📰 Must-read papers and blogs on Speculative Decoding ⚡️
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Latitude is the open-source prompt engineering platform to build, evaluate, and refine your prompts with AI
Large-scale LLM inference engine
Perplexica is an AI-powered answering engine. It is an Open source alternative to Perplexity AI
This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.
AGENTS.md — a simple, open format for guiding coding agents
PyTorch native quantization and sparsity for training and inference
Access OpenAI models programmatically through your ChatGPT subscription.
Laravel-focused MCP server for augmenting your AI powered local development experience.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Native mobile client for OpenWebUI. Chat with your self‑hosted AI.
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
Renderer for the harmony response format to be used with gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Fastest LLM gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime