Topic: hybrid-model Goto Github
Some thing interesting about hybrid-model
Some thing interesting about hybrid-model
hybrid-model,Hybrid Model with CNN and LSTM for VMD dataset using Python
User: aaaastark
Home Page: https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python
hybrid-model,My data science workshops made for Data Science at Georgia tech members
User: achen353
hybrid-model,Three basic models of Recommender systems
User: ahghaffari
hybrid-model,Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
User: ahmetzamanis
hybrid-model,Website pages for Model Deployment of ICH Detection using DL
User: akhithababu
Home Page: https://akhithababu.github.io/ICH-detection/
hybrid-model,Methodology and code to use social data for forecasting shortage of essential commodities (gasoline/PPE/toilet paper) during disasters like hurricanes and pandemics
User: akrm3008
Home Page: https://link.springer.com/article/10.1007/s00291-019-00559-8
hybrid-model,A machine learning model is trained to determine the word in an audio file
User: amanbudhraja
hybrid-model,Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach
User: amirhoseein99
hybrid-model,An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
User: ankangd
Home Page: https://www.sciencedirect.com/science/article/pii/S0010482521000901
hybrid-model,Welcome to the repository for my conference paper on stock market analysis and predictive models. In this paper, I explore various models to analyze and predict stock market trends. I have employed a combination of traditional time series models and modern machine learning techniques to provide insights into stock price movements.
User: arya920
hybrid-model,A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots
User: christianlandgraf
hybrid-model,Compression and Reinforced Variation (CRV) Method
User: dalalal-alimi
hybrid-model,Hybrid Emergency Model
User: fsancho
hybrid-model,Detection of brain cancer is a tedious and very crucial job. Usage of image based clustering can provide a efficient and unsupervised method of brain cancer detection. Due to the nature of image data, direct clustering is highly impossible and inefficient. To overcome the above limitation, hybrid learning methods are adopted. Efficient utilisation of transfer learning can improve the accuracy and save time for image based clustering. In the following work, we have propose a hybrid clustering model based on transfer learning to achieve brain tumor detection
User: guhan-b
hybrid-model,📖 mmCIF support for hybrid/integrative models
Organization: ihmwg
Home Page: https://pdb-dev.wwpdb.org
hybrid-model,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.
User: j-b-mugundh
hybrid-model,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.
User: jedirhymetrix
hybrid-model,A graphical simulator for the two-dimensional hybrid model of programmable matter.
User: jfriemel
hybrid-model,An end-to-end Hybrid Learning Model built using CNN+LSTM layers to detect covid-19 from Chest X-ray images. Comparative study has been performed along with modified CNN architectures of transfer learning models : Xception, MobileNet and VGG19. An end-trend web based application was developed using flask framework and was hosted using Heroku.
User: jkanishkha0305
hybrid-model,My Hybrid Model (Deep Learning and Machine Learning) Projects
User: john-fante
hybrid-model,We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.
User: kyujinhan
hybrid-model,Building the best machine learning model to detect phishing websites.
User: laxmanbalaraman
hybrid-model,A Hybrid Model for Role-related User Classification on Twitter
User: liuqingli
hybrid-model,Deep Learning project October 2023
User: maurotangari
hybrid-model,[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
User: mmaaz60
hybrid-model,This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
User: nafiul-araf
hybrid-model,Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients
User: nemat-al
hybrid-model,A Semantic-aware Code Snippet Recommender
User: nikosoik
hybrid-model,MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
User: omid-nejati
hybrid-model,A project intended to bring context to embodied computational agents. Layered brains from hybrid models. Contextual Neurodevelopmental Dynamics & GSoC 2020 assoc content.
Organization: orel-group
hybrid-model,Django React Boilerplate Template - Hybrid Model, with Session authentication and CSRF Protection
User: parijat-k
Home Page: https://parijat-k.github.io/django-react-boilerplate-template/
hybrid-model,A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
User: poludmik
Home Page: https://poludmik.github.io/NeuralCollaborativeFiltering.jl/
hybrid-model,Sentiment Analysis of Tweets using Neural Networks with Pytorch
User: prashanthatp
Home Page: https://prashanthatp.github.io/sentiment_analyzer/
hybrid-model,sbml2hyb is a tool for SBML compatible hybrid modelling of biological systems
User: r-costa
Home Page: https://doi.org/10.6084/m9.figshare.21803316.v1
hybrid-model,Automation of tests using selenium 4 , core java, testNG, Maven
User: raghavendra-vaidya
hybrid-model,NLP_csv_hyrbidModel excel
User: raphaelgn
hybrid-model,Forward dynamic hybrid FE-MB model of the lumbosacral spine based on the Male Visible Human Project built in ArtiSynth.
User: remusr9
hybrid-model,Hybrid machine learning framework for modelling and control of particle processes
User: rfjoni
hybrid-model,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.
User: ronylpatil
hybrid-model,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.
User: ronylpatil
hybrid-model,Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python
User: rv20197
hybrid-model,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.
User: sakshidgoel
hybrid-model,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
User: samankhamesian
hybrid-model,Meetei Mayek Character Recognition: Hybrid CNN+LSTM model for Meetei Mayek script recognition.
User: sgvkamalakar
hybrid-model,Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
User: sharmaroshan
hybrid-model,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.
User: shayansss
Home Page: https://shayansss.github.io
hybrid-model,A Machine Learning based predictor to predict the language tag for a question posted on Stackoverflow. It is a Single label classification.
User: shubhamsood1406
hybrid-model,Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
User: titicaca
hybrid-model,Demucast is a hybrid model for salving music genre classification problem.
User: zhaoyangbu
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