jacobgil

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Explainability for Vision Transformers

Keras implementation of Deep Convolutional Generative Adversarial Networks

PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

An implementation of Grad-CAM with keras

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

Keras implementation of class activation mapping

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

The long missing library for python confidence intervals

Python implementation for Image Classification based on GMM dictionaries and fisher vectors.

Visualizing filters by finding images that maximize their outputs

Visualizations for understanding the regressed wheel steering angle for self driving cars