Pre-trained Deep Learning models and demos (high quality and extremely fast)
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Updated
Jul 16, 2024 - Python
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Minimalistic examples of ONNX models for computer vision tasks, including download scripts and usage demos.
Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js
In this project, I used PyTorch and ONNX along with facenet-pytorch, Matplotlib,Yolov8, OpenCV, and computer vision techniques to detect multiple object. It uses a deep learning model to detect object in low-quality images
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
onnx to mlpack converter (Under construction)
A real-time voice changer application using WebSockets and ONNX/TensorFlow/PyTorch
一种基于 YOLOv8 的路口交通信号灯通行规则识别模型及算法
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
ONNX runtime for Flutter.
This ML model is especially designed for Ed-Tech organizations who are confused to categorized their courses according to proper guidance. To solve this major problem, it's here to help you.
FastAPI & ONNXmodel video frames analyzer
The project is a Dockerized microservice utilizing YOLO for object detection, managed with Docker Compose. It exposes a REST API for detection tasks, ensuring scalability and ease of deployment. Developed with FastAPI, it accurately detects and reports objects within images, prioritizing code quality, containerization efficiency, and clear document
Pytorch_to_Tensorflow
A simple package for installing & running Segment Anything (SAM) model in ONNX format.
Diagnose your ONNX model
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
old photo image colorize
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