hybrid-model

There are 0 repository under hybrid-model topic.

mmaaz60 / EdgeNeXt
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
classification cnn edge-computing hybrid-model mobile-application transformers
Language:Python 365
Omid-Nejati / MedViT
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
beginner-friendly classification hybrid-model image-classification machine-learning medical medical-image-analysis medical-image-classification medical-image-processing medical-imaging medmnist pytorch vision-transformer
Language:Python 169
titicaca / spark-gbtlr
Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
hybrid-model boosted-decision-trees logistic-regression spark-ml gradient-boosted-trees spark ctr ctr-prediction
Language:Scala 88
sharmaroshan / Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
recommendation-system data-visualization data-analysis data-mining data-cleaning feature-engineering feature-selection machine-learning deep-learning hybrid-model boosting-algorithms bagging
Language:Jupyter Notebook 59
ihmwg / IHMCIF
📖 mmCIF support for hybrid/integrative models
dictionary hybrid-model integrative-modeling mmcif pdb
Language:Shell 22
AmirHoseein99 / Depression-Engine
Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach
deep-learning sad speech-activity-detection depression-detection daic-woz hybrid-model
Language:Python 20
FengheTan9 / HySparK
[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
hybrid-model masked-image-modeling medical-image-segmentation medical-imaging self-supervised-learning cnn transformer
Language:Python 19
KyujinHan / Object-Depth-detection-based-hybrid-Distance-estimator
We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.
computer-vision distance-calculation hybrid-model object-detection opencv pytorch self-driving-car vision-transformer deep-learning lstm machine-learning random-forest xgboost monocular-depth-estimation object-distance-using-camera vehicle-distance-estimation monocular-camera vde
Language:Jupyter Notebook 18
Parijat-K / django-react-boilerplate-template
Django React Boilerplate Template - Hybrid Model, with Session authentication and CSRF Protection
django reactjs boilerplate-template session-cookie csrf-protection hybrid-model python template django-cors-headers react backend boilerplate csrf
Language:JavaScript 14
SamanKhamesian / Hybrid-Self-Attention-NEAT
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
neuroevolution neat-python atari-games hybrid-model self-attention neural-networks deep-neural-networks
Language:Python 14
sakshidgoel / Bilingual-Sentiment-Analysis
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.
sentiment-analysis ensemble-models hindi-english twitter-data hybrid-model classifiers bilingual-comments kaggle-dataset code-mixed natural-language-processing
Language:Jupyter Notebook 13
Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation
bupt-ai-cz / Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation
https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
cytopathology efficient-algorithm hybrid-model image-classification semantic-segmentation thyroid-cancer wsi-images
Language:Python 12
hml
shayansss / hml
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.
abaqus biomechanics cartilage computational-physics deep-learning fortran graphneuralnetwork hybrid-model keras knee machine-learning python sonnet surrogate-models tensorflow umat
Language:Jupyter Notebook 12
christianlandgraf / ipa-robot-accuracy
A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots
robotics dataset accuracy machine-learning hybrid-model neural-networks
Language:Python 8
laxmanbalaraman / Phishing-website-prediction
Building the best machine learning model to detect phishing websites.
phishing hybrid-model machine-learning ensemble-classifier phishing-attacks classifier
Language:Jupyter Notebook 8
liuqingli / TwiRole
A Hybrid Model for Role-related User Classification on Twitter
user-classification hybrid-model twitter
Language:Python 8
ankangd / HybridCovidLUS
An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound
automatic-severity-prediction cnn-lstm covid-19 hybrid-model lung-ultrasound
Language:Python 7
J-B-Mugundh / Next-Gen-Security_Enhanced-DDoS-Attack-Detection-for-Autonomous-Vehicles-in-6G-Networks
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.
ai autonomous-vehicles continuous-learning ddos-attacks hybrid-model ml
Language:Jupyter Notebook 7
rfjoni / ParticleModel
Hybrid machine learning framework for modelling and control of particle processes
hybrid-model machine-learning process-engineering process-control simulation
Language:Python 7
Stock-Market-Prediction
madhurimarawat / Stock-Market-Prediction
This repository began as a 7th-semester minor project and evolved into our 8th-semester major project, "Advanced Stock Price Forecasting Using a Hybrid Model of Numerical and Textual Analysis." It utilizes Python, NLP (NLTK, spaCy), ML models, Grafana, InfluxDB, and Streamlit for data analysis and visualization.
documentation flask flask-app grafana-dashboard grafana-influxdb hybrid-model influxdb-database machine-learning machine-learning-algorithms minor-project numerical-model presentation python research-project stock-market stock-market-prediction streamlit streamlit-deployment streamlit-webapp text-model
Language:Jupyter Notebook 6
RemusR9 / artisynth_lumbosacralSpineModel
Forward dynamic hybrid FE-MB model of the lumbosacral spine based on the Male Visible Human Project built in ArtiSynth.
spine simulation-modeling lumbar lumbosacral human finite-element-analysis multibody-dynamics simulation simulation-model hybrid-model intervertebral-disc vertebrae ligament collagen-fibers facet-joint forward-dynamics
Language:Java 6
r-costa / sbml2hyb
sbml2hyb is a tool for SBML compatible hybrid modelling of biological systems
converter hybrid-model python sbml-model systems-biology interface gui keras-tensorflow neural-network bioprocess
Language:Python 5
Covid-19-Detection-using-Deep-Hybrid-Learning
ronylpatil / Covid-19-Detection-using-Deep-Hybrid-Learning
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.
deep-hybrid-learning hybrid-model machine-learning deep-learning
Language:Python 5
rv20197 / COVID-19-Analysis-and-Prediction-Using-AI
Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python
tensorflow tensorflow2 timeseries-analysis timeseries-forecasting lstm-neural-networks rnn-tensorflow cnn-for-time-series hybrid-model keras-neural-networks plotly-python coronavirus-analysis coronavirus covid-19 coronavirus-prediction covid-19-prediction covid-19-predictor
Language:Jupyter Notebook 5
Tomato-Leaf-Disease-Detection-DHL
ronylpatil / Tomato-Leaf-Disease-Detection-DHL
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.
deep-hybrid-learning hybrid-model machine-learning deep-learning
Language:Python 4
aaaastark / hybrid-model-with-cnn-lstm-python
Hybrid Model with CNN and LSTM for VMD dataset using Python
cnn-architecture cnn-classification cnn-keras cnn-lstm-models cnn-model data-science deep-learning hybrid-model keras lstm-model lstm-neural-network machine-learning matplotlib numpy pandas python sklearn tensorflow vmd
3
DalalAL-Alimi / CRV
Compression and Reinforced Variation (CRV) Method
classification crv dimensionality-reduction feature-fusion feature-selection hsi hsi-classification hybrid-model hyperspectral-image image-classification image-processing
Language:Jupyter Notebook 3
zhaoyangbu / demucast
Demucast is a hybrid model for salving music genre classification problem.
ast demucs hybrid-model music-genre-classification
3
AhmetZamanis / KaggleStoreSales
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
arima darts exponential-smoothing fourier-features hybrid-model python quarto regression statsmodels time-series time-series-analysis time-series-forecasting machine-learning deep-learning kaggle-competition lstm neural-network pytorch stl-decomposition transformer
Language:Python 2
AkhithaBabu / ICH-detection
Website pages for Model Deployment of ICH Detection using DL
model-deployment deep-learning deep-neural-networks machine-learning machine-learning-algorithms machine-learning-models machine-learning-projects deep-learning-algorithms deeplearning-demo deep-learning-papers deep-learning-models medical-imaging html javascript css python hybrid-model cnn detection ct-scan-images
Language:CSS 2
AkhithaBabu / Intracranial-Hemmorhage-Detection
Deep-Learning solution for detecting Intra-Cranial Hemorrhage (ICH) 🧠 using X-Ray Scans in DICOM (.dcm) format.
medical-imaging deep-learning machine-learning ct-scan-images hemorrhage dicom html-css-javascript python x-ray-images bioinformatics biomedical-image-processing data-science bioinformatics-analysis data cnn-model hybrid-model svm-classifier xgboost-model prediction-model preprocessing
Language:Jupyter Notebook 2
JediRhymeTrix / HandWrittenRecognitionDeep
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.
cnn handwritten-digit-recognition hybrid-model jupyter-notebook python svm tensorflow pytorch
Language:Jupyter Notebook 2
Md-Emon-Hasan / ML-Project-Intrusion-Detection-Systems-Anomaly-Detection-with-ML-DL
🔒 Leverages Machine Learning and Deep Learning models to identify malicious activities in network traffic, enhancing cybersecurity.
anomaly-detection anomalydetection artificial-intelligence cnn cyber-security data-science ensemble hybrid-model lstm lstm-neural-networks machine-learning ml network-security anomaly anomaly-detection-algorithm deep-learning neural-network eda flask ml-engineering
Language:Jupyter Notebook 2
nafiul-araf / BFND-System
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
autoencoder-neural-network bnlp deep-learning ensemble-machine-learning hashing hybrid-model machine-learning
Language:Jupyter Notebook 2
OREL-group / Meta-brain-Models
A project intended to bring context to embodied computational agents. Layered brains from hybrid models. Contextual Neurodevelopmental Dynamics & GSoC 2020 assoc content.
meta-brain-models neurodevelopmental hybrid-model
2
poludmik / NeuralCollaborativeFiltering.jl
A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
hybrid-model matrix-factorization neural-collaborative-filtering neural-networks recommendation-system recommender-system movielens multilayer-perceptron ncf collaborative-filtering implicit-feedback
Language:Julia 2

hybrid-model

mmaaz60 / EdgeNeXt

Omid-Nejati / MedViT

titicaca / spark-gbtlr

sharmaroshan / Drugs-Recommendation-using-Reviews

ihmwg / IHMCIF

AmirHoseein99 / Depression-Engine

FengheTan9 / HySparK

KyujinHan / Object-Depth-detection-based-hybrid-Distance-estimator

Parijat-K / django-react-boilerplate-template

SamanKhamesian / Hybrid-Self-Attention-NEAT

sakshidgoel / Bilingual-Sentiment-Analysis

bupt-ai-cz / Hybrid-Model-Enabling-Highly-Efficient-Follicular-Segmentation

shayansss / hml

christianlandgraf / ipa-robot-accuracy

laxmanbalaraman / Phishing-website-prediction

liuqingli / TwiRole

ankangd / HybridCovidLUS

J-B-Mugundh / Next-Gen-Security_Enhanced-DDoS-Attack-Detection-for-Autonomous-Vehicles-in-6G-Networks

rfjoni / ParticleModel

madhurimarawat / Stock-Market-Prediction

RemusR9 / artisynth_lumbosacralSpineModel

r-costa / sbml2hyb

ronylpatil / Covid-19-Detection-using-Deep-Hybrid-Learning

rv20197 / COVID-19-Analysis-and-Prediction-Using-AI

ronylpatil / Tomato-Leaf-Disease-Detection-DHL

aaaastark / hybrid-model-with-cnn-lstm-python

DalalAL-Alimi / CRV

zhaoyangbu / demucast

AhmetZamanis / KaggleStoreSales

AkhithaBabu / ICH-detection

AkhithaBabu / Intracranial-Hemmorhage-Detection

JediRhymeTrix / HandWrittenRecognitionDeep

Md-Emon-Hasan / ML-Project-Intrusion-Detection-Systems-Anomaly-Detection-with-ML-DL

nafiul-araf / BFND-System

OREL-group / Meta-brain-Models

poludmik / NeuralCollaborativeFiltering.jl