ONNX ML model inference using FastAPI and Streamlit
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Updated
Mar 14, 2024 - Python
ONNX ML model inference using FastAPI and Streamlit
License plate number recognition with YOLOv5 object detection algorithm and EasyOCR
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.
Computer Vision and Deep Learning
Various Codes for azure function with python runtime
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
Computer Vision API V3 - Sanic, OpenCV, OpenVINO, ONNX
FastAPI & ONNXmodel video frames analyzer
A CLI tool to convert Keras models to ONNX models and TensorRT engines
Yolov4 ONNX Object Detector
Computer Vision and Deep Learning
This repository contains a Python script for training, evaluating, and deploying a Natural Language Processing (NLP) model for classifying compliments in Turkish language. The model is trained using the Multinomial Naive Bayes algorithm and is saved in ONNX and Joblib formats for deployment.
Person, Age, Gender and Emotion recognition using CNTK and MXNet.
PyTorch super-resolution model (OverNet) with RGB support and ONNX exporter (OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021))
Diagnose your ONNX model
This repository shows an example of how to use the ONNX standard to interoperate between different frameworks. In this example, we train a model with PyTorch and make predictions with Tensorflow, ONNX Runtime, and Caffe2.
Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph
Run ONNX machine learning models on AWS Lambda
A Simple and Fast Rest API for productionization the ONNX models
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