hybrid-neural-network
There are 15 repositories under hybrid-neural-network topic.
changlin31/BossNAS
(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
kneehit/Bone-Age
Building multi-input CNN for predicting the age of bones from X-Ray and gender using PyTorch.
asigalov61/Amazon-Deep-Composer
Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).
pzhg/hCNN
hCNN: Hybrid Neural Network (Hybrid-NN), a MATLAB NN toolbox that supports complex valued data and insertion of Signal Processing Modules.
ericyoc/cnn_hnn_comparison_analysis_poc
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
ldicarlo1/development_of_traffic_model_for_Oxford
A short-term predictive traffic model for a locality Oxford, UK was developed using a Hybrid Temporal Graph Convolutional Neural Network.
xga0/FakeJobPosting
A Hybrid Nerual Network Classifier with Oversample Minority Class.
Hajaral/Deep_Learning_Models
Twitter Sentiment Analysis using Deep learning models.
PrashanthaTP/tweet-sentiment-classifier
Sentiment Analysis of Tweets using Neural Networks with Pytorch
sangbijaksana/denfis
Implementation of DENFIS for predicting time-series data.
saswethrajanarayanan/AgeID-Apparent-Age-Estimation-using-Computer-Vision
A custom lightweight neural network that incorporates a Bag Of Visual Words model alongside a custom shallow CNN to estimate the apparent age of a face.
ericyoc/hnn_attack_three_diff_defense_choices_poc
Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.
ericyoc/hnn_attack_two_diff_defense_choices_poc
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
ericyoc/quantinuum-hnn-compound-adv-attack-poc
A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.
xga0/GoodKickOrBadKick
Kickstarter project success or failure prediction. Using Word2Vec to train embedding file.