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cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classificationmalware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classificationgru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detectionwisconsin-breast-cancer
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Datasetdl-relu
Deep Learning using Rectified Linear Units (ReLU)support-vector-machine
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.ecommerce-reviews-analysis
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)pt-clustering-ae
Code implementation for "Improving k-Means Clustering Performance with Disentangled Internal Representations" by Agarap & Azcarraga (2020)opencv-python-training
OpenCV-Python Tutorialsfeed-forward-neural-network
An implementation of the Multilayer Perceptron for breast cancer detection using the Wisconsin diagnostic dataset.pt-datasets
PyTorch dataset loader for image, text, malware, and medical classification datasetsdnn-trust
How can I trust you? An intuition and tutorial on trustย scoreautoencoders
ag-news-ae-clustering
Using an Autoencoder to encode features for k-Means Clustering on the AG News Datasetcooperative-competitive-learning
Potentially helpful methods for specialized ensemble learning.AFAgarap.github.io
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