Fast CPU OCR: line detection, CTC recognition, reading order, markdown
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Open standard for machine learning interoperability
Unified framework for building enterprise RAG pipelines with small, specialized models
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Simplify your onnx model
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
Turn any computer or edge device into a command center for your computer vision projects.
Machine learning on FPGAs using HLS
UniFace: A Unified Face Analysis Library for Python | Detection, alignment, landmarks, face-mesh, recognition, parsing, gaze, attributes and anti-spoofing under one API.
支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )
Python SDK for local and cloud background removal (pip install withoutbg)
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Neural Network Compression Framework for enhanced OpenVINO™ inference
ONNXMLTools enables conversion of models to ONNX
Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.
LibreYOLO is a MIT licensed open source computer vision library
Convert scikit-learn models and pipelines to ONNX
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
A Toolkit to Help Optimize Onnx Model
早耳 - Real-time multilingual speech-to-text on CPU only. Live subtitles, browser dashboard, speaker labels, translation. No GPU, no cloud.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
微信聊天分析工具,支持本地 Laya 与 API 模型,提供意图识别、情绪感知、人物画像、群聊画像、好感度分析和 MBTI 聊天推测。
Running ONNX/TRT version of the MiniMax-H3 VAE in ComfyUI, which increase speed by up to 1.7x
Laya typed decisions on Linux x86_64 via ONNX Runtime
Persian text-to-speech with voice cloning, fully offline on CPU (ONNX + torch paths)
开源多品牌 RAW 照片编辑器,集调色、AI 增强、智能蒙版与照片合成于一体。 / An open-source multi-brand RAW photo editor with color grading, AI enhancement, smart masks, and photo merging.
Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
An 8M-parameter English text-to-speech model distilled from Kokoro-82M. 9 MB, runs 18x real time on one CPU thread.
Fast-AtomRAG-Core
Cross-platform, fully-offline Vietnamese/English text-to-speech desktop workstation powered by VieNeu-TTS v3 Turbo (ONNX/CUDA, Voice Cloning, EPUB Audiobooks, PySide6/QML)
Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
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.
Fast singing-voice acoustic model: harmonic + noise excitation refined into a mel by a 1-step rectified flow (bundled NHVSing vocoder). Multi-speaker + style control; ONNX/OpenUTAU export.
Full-circle image roll estimation with calibrated abstention. Open weights, Apache-2.0. By ORTUS AI, the team behind CHEQIT.
Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.
The best performing voice isolator there is. Keeps the caller's voice and removes the other voices in the room before speech-to-text hears them. Open source, streaming, runs on CPU and in the browser. pip install voxlock
Small, fast, free: an open recipe for a sub-100M TTS. Code, data, weights. The PoC trained to a working model in a few hours on one RTX 3090, and inspired a wave of open-weights TTS releases.
Small System One decision models (17M–400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
Local voice control for Home Assistant on a Raspberry Pi 5: streaming speech-to-text (EdgeSTT) and a small non-generative decision engine (EdgeDecision). 9 languages, no cloud, no LLM.
Private, local-first AI meeting assistant for transcription, speaker diarization and meeting notes. Open-source, self-hosted alternative to Granola, Meetily, Fireflies.ai, Fathom and Otter.ai.
离线可用的本地类型化决策:4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev
基于《崩坏:星穹铁道》角色「流萤」的桌面智能 AI 伴侣系统。 流萤以 Live2D 形态常驻桌面,流式 AI 对话、本地 ONNX 语义记忆、双引擎主动关怀、GPT-SoVITS 流萤原声 TTS、Agent 任务执行、MCP 开放工具链与 Skill 插件体系。
Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) — no tiling, no offline post-processing.
Распознавание русской речи в командной строке: GigaAM v3, ONNX int8, на процессоре, без интернета
tx防水墙验证码自动化求解器:滑块、图形点选、文字点选三种类型。Python + OpenCV + ONNX 实现,curl-cffi 模拟 Chrome TLS 指纹。仅供学习用途。
CPU-friendly sidecar that OCRs paperless-ngx documents with PaddleOCR PP-OCRv6 and writes text back via the API.
Local text-to-speech: 28 voices, 10 languages, voice cloning, SDKs for Python, Swift, Go, Rust and TypeScript
WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.