Topic: stl-10 Goto Github
Some thing interesting about stl-10
Some thing interesting about stl-10
stl-10,Coursework solutions for a 3rd year Computer Science module on Deep Learning @ Durham University. Uses a conditional WGAN-GP implementation to generate images from the CIFAR-10 and STL-10 datasets.
User: boyla950
stl-10,Fellowship.AI Challenge: Cohort 19
User: davidleo1984
stl-10,3rd Year: 1st - 104/100. Generative Modelling: Applying GANs to generate out-of-sample inter-class images - "The Mythical Pegasus: A Mysterious Journey".
User: shadowbourne
stl-10,Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.
User: sjenni
Home Page: https://sjenni.github.io/LearningToSpotArtifacts/
stl-10,This repo contains the codes for the project in UGP - II (CS 396)
User: thisisakr47
Home Page: https://model-vizualizer.netlify.app/
stl-10,Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
User: wgcban
Home Page: https://arxiv.org/abs/2312.02151
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