This is your work, valued

Singapore

Atin Ghosh

Advanced
@atinghosh

PhD student in ML @NUS

VAE-pytorch. Variational auto encoder in pytorch

55

Semi-Supervised-Learning. Contains code for popular semi-supervised learning algorithm e.g. temporal ensembling, mean teacher, virtual adversarial training

5

NCE. noise contrastive estimation for representation learning

3

mixmatch_pytorch. Implementation of MixMatch for semi supervised Learning on CIFAR10, SVHN, STL10

1

Importance-weighted-auto-encoder. Codes related to our experiment with Importance weighted auto encoder (IWAE), Reweighted wake sleep (RWS), Doubly reparametrized gradient estimator (DREG)

1