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d2l-pytorch-implementation

This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.

da-dataset

Scripts to download domain adaptation dataset (gta, synthia, cityscapes)

discriminative-feature-alignment

Discriminative Feature Alignment for Unsupervised Domain Adaptation

draw_convnet

fran

This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Representation Alignment Networks).

frontier_exploration

ROS Node and Costmap 2D plugin layer for frontier exploration

mcd_da

multigpu

Test code for running PyTorch deep learning models using multiple GPUs.

mvi

This repo provides source code for MVI paper: Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation

react-native-authentication

realtime-video-magnification

An OpenCV/Qt based realtime application to magnify motion and color in videos and camerastreams

resnet-decoder

Encoder-decoder architecture using ResNet and transposed ResNet (resnet 50, resnet 101)

resnet-pytorch

This repo replicates the ResNet on MNIST/FashionMNIST dataset, using PyTorch torchvision model. The torchvision model is reused by splitting the ResNet into a feature extractor and a classifier. And the training is conducted with/without the pre-trained model.

set-up-deep-learning-frameworks-with-gpu-on-google-cloud-platform

This repo provides a guide to set up the GPU environment for deep learning frameworks (TensorFlow, PyTorch) on the Google Cloud Platform.

wsn-sae

This repo provides source code for optimizing sensor sampling locations in wireless sensor networks using spatiotemporal autoencoder.