Stars
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
Automated deep learning algorithms implemented in PyTorch.
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset
A framework for data augmentation for 2D and 3D image classification and segmentation
In this repository, I am sharing the PCA denoising code implemented for my PhD thesis.
In this repository, I am sharing an algorithm to suppress Gibbs artefact.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
PyTorch implementations of Generative Adversarial Networks.
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules