This is your work, valued
My interests include Clustering, Deep Learning, Representation Learning and Transfer Learning.
CapsNet-Keras. A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
2.5kDEC-keras. Keras implementation for Deep Embedding Clustering (DEC)
501DCEC. Python
196IDEC. Python
172CapsNet-Pytorch. Pytorch implementation for NIPS2017 paper `Dynamic Routing Between Capsules`
159CapsNet-Fashion-MNIST. Capsule Network on Fashion MNIST dataset
97DSC-Net. A Pytorch implementation of DSC-Net (Deep subspace clustering networks, NIPS17)
67DEC-DA. Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
59ASPC-DA. Python
24IDEC-toy. Python
10CapsNet-Tensorflow. A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
4handson-ml. A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
2pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers
1deepcluster. Deep Clustering for Unsupervised Learning of Visual Features
1AnomalyDetectionTransformations. A simple and effective method for single-class classification of images
1PICA. Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
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