A toolbox for receptive field analysis and visualizing neural network architectures
Channel Optimization for Convolutional Neural Networks [ICCV2021]
Efficient Auto-Channel Size Optimization for CNNs [ICMLA2021]
Testing submission of AWS batch jobs using BoTorch (via Ax) and TorchX for neural architecture search
A deep learning system that automatically designs optimal CNN architectures using Neural Architecture Search to classify lung - colon cancer from histopathology images. Achieves 99.72% accuracy across five cancer types with robust regularization. PyTorch-based solution ready for medical imaging deployment with exceptional generalization performane
Tensorflow2 implementation of "Neural Architecture Search"
Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution methodology.
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