There are 0 repository under hybrid-model topic.
[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.
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
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.
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
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.
Hybrid machine learning framework for modelling and control of particle processes
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots
Forward dynamic hybrid FE-MB model of the lumbosacral spine based on the Male Visible Human Project built in ArtiSynth.
This research proposed an Advanced DDoS Attack Detection System (ADADS) using a Hybrid Detection Model (HDM) and Continuous Learning Model (CLM) for dynamic adaptation to evolving attack patterns.
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.
Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python
Image classification using XGBOOST by extracting features using VGG16 ImageNet. This project explains the process of using XGBOOST for image classification using pre-trained weights (VGG16) as feature extractors.
Compression and Reinforced Variation (CRV) Method
Hybrid of Regression Trees & Linear Regression
Demucast is a hybrid model for salving music genre classification problem.
Hybrid Model with CNN and LSTM for VMD dataset using Python
Website pages for Model Deployment of ICH Detection using DL
Deep-Learning solution for detecting Intra-Cranial Hemorrhage (ICH) š§ using X-Ray Scans in DICOM (.dcm) format.
A machine learning model is trained to determine the word in an audio file
A comparative study of a classic CNN model and a CNN-SVM hybrid where the feature matrix learnt by a CNN's convolutional layers are used to train a multi-class SVM classifier.
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
A project intended to bring context to embodied computational agents. Layered brains from hybrid models. Contextual Neurodevelopmental Dynamics & GSoC 2020 assoc content.
A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
A graphical simulator for the two-dimensional hybrid model of programmable matter.