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A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper <AnimeGAN: a novel lightweight GAN for photo animation>, which uses the GAN framwork to transform real-world photos into anime images.
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
DeepLearing_Studying
🚘 Easiest Fully Convolutional Networks
Pytorch implementation of Improved Deep Embedded Clustering
Face Analysis Project on MXNet
kmeans算法的python实现
A toy implementation of Neural Graph Collaborative filtering
Autoencoders in PyTorch
A Collection of Variational Autoencoders (VAE) in PyTorch.
Vector Quantized VAEs - PyTorch Implementation
Minimal PyTorch implementation of YOLOv4
Structural Deep Clustering Network
t-SNE experiments in pytorch
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
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