Description:
GenCAD is an AI-driven parameterized CAD generator that creates CAD programs and 3D models from images, using transformer-based representations and diffusion priors to produce modifiable CAD commands.
Data Science, AI and Machine Learning
MediaPipe
Description:
MediaPipe is an open-source, cross-platform ML framework for building perception pipelines across mobile, web, desktop, and edge devices. It offers ready-to-use Solutions, models, and a modular framework to create efficient on-device ML pipelines.
RuView
Description:
RuView is a WiFi sensing platform that turns commodity WiFi CSI signals into real-time spatial intelligence, enabling presence detection, vital signs monitoring, pose estimation, and room mapping without cameras.
OmniVoice
Description:
OmniVoice is a multilingual zero-shot TTS model with Python API and CLI for voice cloning and voice design across 600+ languages.
Overworld AI World Engine
Description:
World Engine is a core library for World Model inference. It loads World Models and LoRA adapters to generate image frames from text and controller inputs, optimized across GPUs. It offers a simple API to load models and produce frames conditioned on prompts, history, and inputs.
Modelship
Description:
Self-hosted, multi-model AI inference server that runs LLMs, TTS, STT, embeddings, and image generation behind a single OpenAI-compatible API, with GPU memory budgeting and a plugin system.
Qlib
Description:
Qlib is an AI-oriented quantitative investment platform providing data processing, ML modeling, backtesting, and deployment workflows; a framework for quantitative research with supervised learning, market dynamics modeling, and reinforcement learning.
Octopoda-OS
Description:
Octopoda-OS is an open-source memory operating system for AI agents, offering persistent memory, semantic search, loop detection, agent messaging, crash recovery, and real-time observability via local (SQLite) or cloud (PostgreSQL) storage.
Thunderbolt
Description:
Thunderbolt is an open-source, cross-platform AI client that you can self-host. It supports multiple models and providers, is enterprise-ready, and emphasizes data sovereignty and vendor lock-in avoidance.
MOSS-TTS-Nano
Description:
MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration.