Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
keras-cam
Keras implementation of class activation mapping
keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
keras-grad-cam
An implementation of Grad-CAM with keras
pytorch-explain-black-box
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
pytorch-pruning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
pytorch-tensor-decompositions
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
pytorch-zssr
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
vit-explain
Explainability for Vision Transformers
Synthesize3DviaDepthOrSil
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes