Stars
Datasets, Transforms and Models specific to Computer Vision
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Pytorch implementation of convolutional neural network visualization techniques
A resource for learning about Machine learning & Deep Learning
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Create simple drawings of neural networks using graphviz
A PyTorch implementation of AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
The Autoencoder contains an encoder and decoder where encoder stores the images input in a compressed form and decoder retrieves back the Images.