[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

📖 mmCIF support for hybrid/integrative models

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach

Django React Boilerplate Template - Hybrid Model, with Session authentication and CSRF Protection

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in multi-physics modeling of soft tissues.

Building the best machine learning model to detect phishing websites.

A Hybrid Model for Role-related User Classification on Twitter

Hybrid machine learning framework for modelling and control of particle processes

A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots

An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound

Forward dynamic hybrid FE-MB model of the lumbosacral spine based on the Male Visible Human Project built in ArtiSynth.

Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python

Here I am combining best of the both worlds, one is traditional Machine Learning and Deep Learning to create a hybrid model which classifies Tomato Leaf Diseases.