CIFAR-10 Demos in PyTorch
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Updated
May 20, 2018 - Python
CIFAR-10 Demos in PyTorch
Collection of generative models in Pytorch version.
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
Train an agent to play flappy bird game using double DQN model and implement it with pytorch.
The implementation of Layer Normalization which follows paper "https://arxiv.org/abs/1607.06450".
The implementation of Adaptive Computation function used in RNN "https://arxiv.org/pdf/1603.08983.pdf" and Universal Transformer Network "https://arxiv.org/pdf/1807.03819.pdf"
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Voxel-Based Resnets for Classification
This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).
Implementation of DropBlock in Pytorch
Experimenting different models for retinal vessel segmentation on DRIVE dataset.
Various Machine learning & Deep Learning models in PyTorch
Weighted Focal Loss for multilabel classification
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Position Squeeze and Excitation Model : Resnet and Darknet
Kaggle RSNA Pneumonia Detection Challenge
Bi-directional LSTM implementation of SentimentRNN (from PyTorch Scholarship Challenge)
A PyTorch notebook and implementation of a normal linear GAN
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