Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Super-Selfish: Self-Supervised Learning on Images with PyTorch   Super-Selfish is an easy to use PyTorch framework for image-based
self-supervised learning. Features can be learned with 13 algorithms that span
from simple classification to more complex state of theart contrastive pretext
tasks. The framework is easy to use and allows for pretraining any PyTorch
neural network with only two lines of code. Simultaneously, full flexibility is
maintained through modular design choices. The code can be found at
https://github.com/MECLabTUDA/Super_Selfish and installed using pip install
super-selfish.

28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex