Stars
SoulX-Podcast is an inference codebase by the Soul AI team for generating high-fidelity podcasts from text.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
The transactional Elasticsearch alternative built on Postgres
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Distributed Task Queue (development branch)
Convert PDF to markdown + JSON quickly with high accuracy
Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
A quick vibe coded app for deepseek OCR
High-performance, semantic turn detection for conversational AI
Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
Fast and accurate AI powered file content types detection
Orchestrate Claude Code, Codex, and Gemini sessions on a multiplayer canvas. Manage git worktrees, track AI conversations, and visualize your team's agentic work in real-time.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati…
"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971
Ridiculously fast & accurate voice activity detection in pure Rust
Distributed task queue with full async support
GoMLX: An Accelerated Machine Learning Framework For Go
Run Windows apps on 🐧 Linux with ✨ seamless integration
Silero Stress — pre-trained enterprise-grade automated stress and homograph disambiguation for the Russian language
A blazing fast inference solution for text embeddings models