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Equip PyTorch's Dataset with map, cache etc. (like
pytorch tensorflow dataset cache
PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
neural-style-transfer pix2pix cyclegan pytorch
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
A composite dataset that unifies semantic segmentation datasets from different domains.
segmentation instance-segmentation panoptic-segmentation multi-domain
COVID-Q: A Dataset of 1,690 Questions about COVID-19
This dataset consists of COVID-19 questions which have been annotated into a broad category (e.g. Transmission, Prevention) and a more specific class such ...
covid-19 question-answering dataset covid-q
NLP experiment in story-telling that creates illustrations (text to sketch) and content (text generation)
natural-language-processing text-generation gpt transformers
Understanding & Implementing SimCLR - an ELI5 guide
I explain the SimCLR and its contrastive loss function step by step, build image embeddings and then show how to use them to train image classifier on top.
deep-learning computer-vision pytorch self-supervised-learning
Arabic Font Classification
Tackling the visual font recognition problem for Arabic fonts by synthesizing data and addressing domain mismatch challenges.
visual-font-recognition domain-adaptation dataset code
3D Detection and Domain Adaptation
1st Place Solution for Waymo Open Dataset Challenge
object-detection 3d domain-adaptation waymo
Machine Learning-Enabled Design of Point Defects in 2D Materials
Using deep transfer learning, machine learning, and quantum mechanical calculations we predict key properties of point defects in 2D materials.
machine-learning transfer-learning deep-learning paper
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