(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
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Dec 6, 2021 - Python
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hybrid-neural-network
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Building multi-input CNN for predicting the age of bones from X-Ray and gender using PyTorch.
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Dec 17, 2019 - Python
Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).
music awesome ai amazon music-composition artificial-intelligence awesome-list amazon-web-services music-generation sota colab-notebook ar-cnn hybrid-neural-network musicai gga-mg sota-gga amazon-deep-composer
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Oct 2, 2020 - Jupyter Notebook
hCNN: Hybrid Neural Network (Hybrid-NN), a MATLAB NN toolbox that supports complex valued data and insertion of Signal Processing Modules.
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Mar 23, 2024 - MATLAB
A short-term predictive traffic model for a locality Oxford, UK was developed using a Hybrid Temporal Graph Convolutional Neural Network.
python deep-learning weather-data keras-tensorflow graph-convolutional-networks traffic-prediction here-maps-api complete-source-code hybrid-neural-network tomorrow-io
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Oct 6, 2021 - Jupyter Notebook
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
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Sep 4, 2024 - Jupyter Notebook
A Hybrid Nerual Network Classifier with Oversample Minority Class.
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Aug 1, 2020 - Jupyter Notebook
Implementation of DENFIS for predicting time-series data.
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May 12, 2024 - Jupyter Notebook
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.
python computer-vision deep-learning neural-network cnn feature-engineering age-estimation handcrafted-features hybrid-neural-network
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Sep 28, 2021 - Python
Kickstarter project success or failure prediction. Using Word2Vec to train embedding file.
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Mar 24, 2020 - Jupyter Notebook
Twitter Sentiment Analysis using Deep learning models.
deep-neural-networks deep-learning cnn twitter-sentiment-analysis lstm-neural-networks hybrid-neural-network
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Feb 15, 2023 - Jupyter Notebook
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.
mnist-dataset quantum-classical adversarial-attacks white-box-attacks hybrid-neural-network quantinuum targetted-attacks compounded-adversarial-attack pytket torchattacks pytket-qiskit
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Sep 4, 2024 - Jupyter Notebook
Sentiment Analysis of Tweets using Neural Networks with Pytorch
python nlp natural-language-processing sentiment-analysis cnn pytorch lstm convolutional-neural-networks twitter-sentiment-analysis hybrid-model sentiment-classification hybrid-neural-network long-short-term-memory-network
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Sep 11, 2021 - Python
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
mnist-dataset quantum-classical adversarial-attacks adversarial-training random-rotation classification-models emnist-dataset white-box-attacks hybrid-neural-network targetted-attacks randomization-defense random-resizing random-cropping combined-randomization compounded-attacks
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Sep 4, 2024 - Jupyter Notebook
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