Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
Microsoft AI for Good Lab β Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
LibreYOLO is a MIT licensed open source computer vision library
Easily create AI projects with Python on edge device
Vui Nano β a small, context-aware text-to-speech model trained on real conversations. 219M active params (305M total), Apache 2.0, voice cloning, streaming, runs on CPU (dependency-free C build). Ships with a full real-time voice assistant: WebRTC, ASR, local LLM, OpenAI Realtime API compatible.
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
speech to text benchmark framework
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI. CodeWatch's sibling for the garage.
Real-time parking lot occupancy detection using existing security cameras and on-device computer vision.
GTR: Gated Token Recurrence for Efficient Dense Prediction
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
Ultra-tiny 2.1k streaming voice activity detector (2.1 KB INT8). 200 ms window for microcontrollers, edge devices, and DSPs. ships with ONNX, TorchScript, and standalone C header.
Run a 28.9M-parameter TinyLM on ESP32-S3 with an RP2040 OLED display node for fully local embedded AI inference.
离线ε―η¨ηζ¬ε°η±»εεε³ηοΌ4 ζ Έ CPU ει’ 15.6msγLocal & offline Jev / System One inference on CPU β ONNX + INT8, no torch at runtime. ζ―ζ laya / kev / PlayJev
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder