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Technical University of Applied Sciences Würzburg-Schweinfurt
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This is an implementation of the DeepView framework that was presented in the paper Schulz, A., Hinder, F., & Hammer, B. (2020): https://www.ijcai.org/Proceedings/2020/319. Also available on Arxiv …
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
My best practice of training large dataset using PyTorch.