[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
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Updated
Jul 25, 2023 - Python
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach
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
A Hybrid Model for Role-related User Classification on Twitter
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
Hybrid machine learning framework for modelling and control of particle processes
A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots
sbml2hyb is a tool for SBML compatible hybrid modelling of biological systems
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.
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.
A machine learning model is trained to determine the word in an audio file
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
A Semantic-aware Code Snippet Recommender
Sentiment Analysis of Tweets using Neural Networks with Pytorch
Three basic models of Recommender systems
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