Preserving Clusters and Correlations: Dimensionality reduction with exceptional high global structure preservation
Repositories
jacobgil repositories
Python implementation for Image Classification based on GMM dictionaries and fisher vectors.
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A jupyter-book documentation for the pytorch-gradcam package
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
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
Saliency map generated by back projecting the image histogram on itself, and refinement with Grabcut.
TensorLy: Tensor Learning in Python.
Tensor methods in Python with TensorLy
Demo for https://www.npmjs.com/package/tfjs-yolo-tiny
Explainability for Vision Transformers
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings