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.

Agent Mate is a highly modular, async-powered backend framework designed for seamless integration with Omi. It enables AI agents to ingest, process, and relay structured information from multiple data sources like Gmail, Notion, and more — delivering it back to Omi in the form of conversations or memories.

RestNet-50 Model using Tensorflow

Simple machine learning model using scikit-learn

Shiny app visualization of answers to the survey of business conditions in two refugees camps in Rwanda

Cat/Dog classifier with the tools to make your own

CPML: Category Probability Mask Learning for Fine-Grained Visual Classification

인공지능 기술을 활용한 세포 계수 서비스

The MegEngine Implementation of ResNeSt.

A ML project that can detect Gender By seeing photo Its highly Optimized and Model is already included with Neural;Netwokr

EEG Monitoring and brain signals detection.

Traditional machine learning (ML) demonstrations for data analysis and predictive modeling.

Research Paper Recommendation System

detect abnormality in bones x-rays