jacobgil/TensorFlowFeaturesExample

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Python
Created about 9 years ago
Updated about 9 years ago

jacobgil/TensorFlowFeaturesExample

jacobgil

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Extracting features from a tensor flow model for transfer learning

pytorch-grad-cam

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

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

vit-explain

Explainability for Vision Transformers

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

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

confidenceinterval

The long missing library for python confidence intervals

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.

BagOfVisualWords

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

Ambrosio-Tortorelli-Minimizer

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

CaffeFeaturesExample

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

jacobgil.github.io

jacobgil

github profile readme

pytorch-gradcam-book

A jupyter-book documentation for the pytorch-gradcam package