Self-supervised-learning Libraries

3 Components & Libraries

Sortby

Self-supervised-learning Libraries

A python library for self-supervised learning on images.

Lightly SSL is a computer vision framework for self-supervised learning. This self-supervised learning framework offers the following features: Want to jump to the tutorials and see Lightly in action…

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

You can find our sources and single-click downloads: DIPY can be installed using pip: or using conda:

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

The key experiments that that do not require very large compute are: Command: Command: Command:

Related tags

recurrent-neural-networks

yolo

convolutional-networks

object-detection

rest