This is a collection of our zero-cost NAS and efficient vision applications.
基于MobileNetV2/EfficientNet-b0/... + LSTM + CTC的不定长图像识别训练pytorch框架
🔥🔥🔥 Use streamlit framework to increase yolov8 front-end page interaction function
CTR Prediction on PyTorch
This repository presents detection network architecture experiments of classification and localisation directly on JPEG compressed images. This project was carried out as an optional project at INSA Rouen Normandy and was supervised by Benjamin Deguerre.
This is a web application built with FastApi that allows users to predict the likelihood of lung cancer based on various input features. The application utilizes a machine learning model trained on a dataset of survey responses related to lung cancer.
RestNet-50 Model using Tensorflow
Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda
Simple machine learning model using scikit-learn
Cat/Dog classifier with the tools to make your own
CPML: Category Probability Mask Learning for Fine-Grained Visual Classification
Research Paper Recommendation System
The MegEngine Implementation of ResNeSt.
EEG Monitoring and brain signals detection.
Traditional machine learning (ML) demonstrations for data analysis and predictive modeling.
detect abnormality in bones x-rays
Major San's machine learning algorithms testing programs
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