Jacob Gildenblat

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

vit-explain. Explainability for Vision Transformers

keras-dcgan. Keras implementation of Deep Convolutional Generative Adversarial Networks

pytorch-pruning. PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

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

keras-cam. Keras implementation of class activation mapping

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

confidenceinterval. The long missing library for python confidence intervals

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

keras-filter-visualization. Visualizing filters by finding images that maximize their outputs

keras-steering-angle-visualizations. Visualizations for understanding the regressed wheel steering angle for self driving cars

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

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

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

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

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

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

jacobgil.github.io. Personal blog

msi_visual. Jupyter Notebook

TensorFlowFeaturesExample. Extracting features from a tensor flow model for transfer learning

jacobgil. github profile readme

pytorch-gradcam-book. A jupyter-book documentation for the pytorch-gradcam package

tensorly. TensorLy: Tensor Learning in Python.

tensorly-notebooks. Tensor methods in Python with TensorLy