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

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Pytorch_to_Tensorflow

Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js

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.

A simple package for installing & running Segment Anything (SAM) model in ONNX format.

Diagnose your ONNX model

ONNX runtime for Flutter.

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

🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

Working example of EEG-based functional brain age (FBA) predictions

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

Converted clone of PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)

Yolov4 ONNX Object Detector

Converted clone of PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)

A very simple sveltekit template of chat with your own fine-tuned transformers models

ONNX ML model inference using FastAPI and Streamlit

Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.