9 resources
Hide product video skills, use AI to reuse real product components and design language, and automatically generate software update promotional videos. It supports storyboard copywriting, original soundtrack, sound effects and code rendering, and is compatible with Claude Code and Codex, allowing developers to quickly produce professional promotional videos.
DocJev is a document classification and splitting tool based on the Jev engine, supporting PDF, DOCX and other formats. Automatically identify document categories or boundaries through natural language rules, and provide CLI and Python library interfaces, which are suitable for efficient parsing and management of batch processing of complex document packages.
Laya is a multilingual, non-autoregressive System 1 decision engine that supports typed decision making in more than 100 languages. It is trained through reinforcement learning to achieve a fast response of 33 milliseconds in a single forward pass, and has a router function that automatically selects checkpoints based on requests. It is suitable for scenarios that require low latency and high concurrency decision-making.
Doubao Say is a Linux voice input application based on GTK4, supporting Wayland and X11. It uses Beanbao or Volcano engine API to implement speech-to-text, provides multi-language settings, microphone selection and custom trigger shortcut key functions, aiming to bring a convenient voice interaction experience to Linux users.
Artemis is a Python-based Android automation framework that converts natural language instructions into reliable end-to-end workflows. It supports multi-modal AI assistant integration, has cross-application automation, element positioning and IDE diagnostic functions, and achieved a high success rate of 99%+ in the AndroidWorld benchmark test.
Miles is an enterprise-oriented reinforcement learning framework designed for post-training of LLM and VLM. It supports efficient fine-tuning and optimization of multi-modal models and provides enterprise-level solutions designed to improve the performance and productivity of large-scale language and visual models.
This warehouse provides configurations, benchmarks, and ARM64 runtime images for reproducible large language model inference on a four-node NVIDIA DGX Spark cluster through a switchless direct connection. It is designed to demonstrate high-performance deployment solutions under specific hardware topologies, including detailed performance data and verification results.
CAD-MCP is a CAD control service based on Python that drives software such as AutoCAD, GstarCAD and ZWCAD for drawing through natural language instructions. It supports line, graphic drawing and layer management to achieve CAD automation without manual operations. It is mainly targeted at Windows platform users.
quackd provides an LLM-driven brain for small robots to automatically plan and execute actions through natural language instructions. It supports 8 types of robots such as Microduck and a variety of large models, and has safety contract, memory and simulator functions to achieve intelligent interaction and autonomous control.