Jacob Gildenblat
jacobgil
Playing with tensors.
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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
Repositories
32Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Preserving Clusters and Correlations: Dimensionality reduction with exceptional high global structure preservation
Explainability for Vision Transformers
Keras implementation of class activation mapping
Keras implementation of Deep Convolutional Generative Adversarial Networks
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
An implementation of Grad-CAM with keras
The long missing library for python confidence intervals
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
No description provided.
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
Python implementation for Image Classification based on GMM dictionaries and fisher vectors.
github profile readme
Python implementation of minimizing the mumford-shah functional for piecewise smooth image approximation.
Porting of Dlib's mmod deep learning face detector model to pytorch, and examples of using it for webcam detection, and face haluciniations
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
No description provided.
Saliency map generated by back projecting the image histogram on itself, and refinement with Grabcut.
Personal blog
Visualizing filters by finding images that maximize their outputs
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Visualizations for understanding the regressed wheel steering angle for self driving cars
A jupyter-book documentation for the pytorch-gradcam package
Code for the 2020 HEROHE challenge
A simple Matlab implementation of Bag Of Words with SIFT keypoints and HoG descriptors, using VLFeat.
Tensor methods in Python with TensorLy
Sample code for classifying images into two categories using Caffe features + SVM.
TensorLy: Tensor Learning in Python.
No description provided.
Demo for https://www.npmjs.com/package/tfjs-yolo-tiny