python pre_process_bird.py Alternatively, you can use thecodeto directly download and pre-process the datasets. Remember to change the dataset path to your own path. 2) Start Training python demo_unseen.py --dataset cub200 --arch inception_v1_ml --lr 0.001 --low-dim 128 --batch-size...
unsupervised-learning3dself-drivingpointcloudgeometric-deep-learningunsupervised-deep-learning3d-semantic-segmentation3d-scene-understanding UpdatedJun 26, 2023 Python HamedHojatian/HBF-Net Star78 Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy ...
Results using dictionary learning and 28 components These results are much better than those for kernal PCA, Gaussian random projection, and sparse random projection but are no match for those of normal PCA. You can experiment with the code on GitHub to see if you could improve on this ...
Images of unit cell structures were translated into atomistic models using python code designed in-house. Uniaxial compression simulations were performed using LAMMPS (large-scale atomic/molecular massively parallel simulator), an open-source molecular dynamics program from Sandia National Laboratories. Each...
Machine Learning of Defects in Crystals Sections Figures References Abstract Introduction Results Discussion Methods Data availability Code availability References Acknowledgements Author information Ethics declarations Additional information Supplementary information Rights and permissions About this article Advertisement...
A Deep Learning Approach to Data Compression 4.5 VAE, Bits-Back Coding Bits-back coding is a form of lossless compression that addresses the entropy overestimation of using latent variable models. Figure 1: Overview of lossless compression. First, the sender encodes data to a code with the small...
Code Studio -- Progressive Growing GAN - Part 1 5.6 SN-GAN What is SN-GAN? Previously, Miyato et al proposed a normalization technique called spectral normalization (SN). The spectral norm is calculated on the unnormalized kernel weights. Spectral Normalization (SN) algorithm introduced by Miyato...
We designed a GUI Python application that calculates the mentioned CIVIs (including our proposal) to run the proposed tests. The code is available in: https://github.com/David9203/CVI-Frechet-Mahalanobis.1 The link includes the real-world PAM dataset and the code to generate the synthetic data...
opencv-python 4.1.0.25 PyWavelets 1.0.2 pytorch >= 1.1 torchvision >= 0.40 Datasets CWRU Bearing Dataset PU Bearing Dataset PHM 2009 SEU Gearbox Dataset JNU Bearing Dataset References Part of the code refers to the following open source code: ...
The following files need to be adapted in order to run the code on your own machine: Change the file paths to the datasets inutils/mypath.py, e.g./path/to/cifar10. Specify the output directory inconfigs/env.yml. All results will be stored under this directory. ...