Silero VAD: pre-trained enterprise-grade Voice Activity Detector

A curated list of awesome inference deployment framework of artificial intelligence (AI) models. OpenVINO, TensorRT, MediaPipe, TensorFlow Lite, TensorFlow Serving, ONNX Runtime, LibTorch, NCNN, TNN, MNN, TVM, MACE, Paddle Lite, MegEngine Lite, OpenPPL, Bolt, ExecuTorch.

Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.

基于 ResNet 的花卉分类识别系统。

Babylon.cpp is a C and C++ library for grapheme to phoneme conversion and text to speech synthesis. For phonemization a ONNX runtime port of the DeepPhonemizer model is used. For speech synthesis VITS models are used. Piper models are compatible after a conversion script is run.

Easy-to-use danbooru anime image classification model

Comparing PyTorch, JIT and ONNX for inference with Transformers

Easy to install image and video colorization using onnx converted deoldify model

RTMO pose estimation with pure ONNX Runtime — tiny class + CLI (webcam/image/video). Models via Releases. No MMPose/MMDeploy.

Run ONNX machine learning models on AWS Lambda

Keras/Tensorflow Neural Network Conversion to ONNX and Inference with ONNX Runtime

A Flask app that detects table using ONNX model exported from YOLOv7

FaceTron is a high-performance face embedding server using ONNX Runtime, supporting dynamic multi-model loading, offline deployment, and scalable environments. It exposes an OpenAPI endpoint with MCP-compatible metadata and integrates with OpenTelemetry for observability.

A general object detection application supporting ONNX models, image/video/camera inputs, with one-shot and real-time inference modes, and an intuitive GUI.

Swap Lense: Apple Silicon live face swap with InsightFace, runs fully on-device for private calls.

PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))

🍡 Toolkit for Distinguishing Anime from Real Images With No Torch.

a discord bot that helps users recycle and reuse