Jacob Gildenblat

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

pytorch-grad-cam is a Python library that generates visual heatmaps showing which parts of an image caused an AI model to make a specific prediction, helping you understand and debug image classifiers.

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

Keras implementation of class activation mapping

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

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

Porting of Dlib's mmod deep learning face detector model to pytorch, and examples of using it for webcam detection, and face haluciniations

Saliency map generated by back projecting the image histogram on itself, and refinement with Grabcut.

Python implementation of minimizing the mumford-shah functional for piecewise smooth image approximation.

A simple Matlab implementation of Bag Of Words with SIFT keypoints and HoG descriptors, using VLFeat.

Preserving Clusters and Correlations: Dimensionality reduction with exceptional high global structure preservation

Sample code for classifying images into two categories using Caffe features + SVM.

Personal blog

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Extracting features from a tensor flow model for transfer learning

github profile readme

A jupyter-book documentation for the pytorch-gradcam package

Tensor methods in Python with TensorLy

TensorLy: Tensor Learning in Python.

Mass spectrometry imaging and explainable machine learning uncover the brain's lipid landscapes

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A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings

Code for the 2020 HEROHE challenge

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Demo for https://www.npmjs.com/package/tfjs-yolo-tiny

Personal dotfiles I use for emacs etc