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PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
neural-style-transfer pix2pix cyclegan pytorch
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
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
A collection of benchmark datasets for graph classification and regression.
graph-neural-networks graph-classification graph-regression tudatasets
Classify photos in 600 classes using nine million Open Images
If you’re looking build an image classifier but need training data, look no further than Google Open Images.
convolutional-neural-networks dataset article code
TAO: A Large-Scale Benchmark for Tracking Any Object
A diverse dataset for Tracking Any Object (TAO) consisting of 2,907 high resolution videos, captured in diverse environments, which are half a minute long ...
object-tracking dataset benchmark tao
Beginner’s Guide to KNN with cuML
What is K-Nearest Neighbors? And how to implement it in Python with RAPIDS cuML.
data-science k-nearest-neighbors rapids gpu
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