Silero VAD: pre-trained enterprise-grade Voice Activity Detector
-
Updated
Feb 17, 2025 - Python
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.
Easy-to-use danbooru anime image classification model
基于 ResNet 的花卉分类识别系统。A ResNet-based flower classification and recognition system.
Easy to install image and video colorization using onnx converted deoldify model
Comparing PyTorch, JIT and ONNX for inference with Transformers
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.
Keras/Tensorflow Neural Network Conversion to ONNX and Inference with ONNX Runtime
Run ONNX machine learning models on AWS Lambda
A Flask app that detects table using ONNX model exported from YOLOv7
Enterprise multi-agent framework for secure, borderless data collaboration with zero-trust and federated learning-lightweight edge-ready.
🍡 Toolkit for Distinguishing Anime from Real Images With No Torch.
The Deep Learning approach to classifying Normal Person heartbeat, abnormal heartbeat & Myocardial Infarction.
a discord bot that helps users recycle and reuse
PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))
Faster large mini-batch distributed training w/o. squeezing devices
Investigating a neural network response to input parameters using sensitivity analysis techniques.
Add a description, image, and links to the onnx-runtime topic page so that developers can more easily learn about it.
To associate your repository with the onnx-runtime topic, visit your repo's landing page and select "manage topics."