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StellarGraph - Machine Learning on Graphs
gcn
graphs
python
networkx
graph-data
data-science
saliency-map
deep-learning
graph-analysis
link-prediction
interpretability
machine-learning
stellargraph-library
graph-neural-networks
graph-machine-learning
heterogeneous-networks
geometric-deep-learning
machine-learning-algorithms
graph-convolutional-networks
Created
2018-04-13
2,535 commits to develop branch, last one 3 years ago
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Created
2020-03-23
159 commits to main branch, last one 2 months ago
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detecti...
Created
2016-03-08
232 commits to master branch, last one 4 years ago
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Created
2017-06-09
85 commits to master branch, last one 7 months ago
Public facing deeplift repo
Created
2016-06-01
553 commits to master branch, last one 2 years ago
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Created
2017-03-29
105 commits to master branch, last one 4 years ago
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Created
2016-12-20
66 commits to master branch, last one 5 years ago
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
Created
2020-03-28
16 commits to master branch, last one 3 years ago
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Created
2022-03-13
45 commits to main branch, last one about a year ago
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
Created
2020-08-12
92 commits to master branch, last one 2 years ago
SmoothGrad implementation in PyTorch
Created
2017-07-28
12 commits to master branch, last one 4 years ago
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Created
2020-11-21
63 commits to main branch, last one about a month ago
Unified Image and Video Saliency Modeling (ECCV 2020)
Created
2020-03-06
15 commits to master branch, last one 3 months ago
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Created
2017-10-31
14 commits to master branch, last one 3 years ago
Pytorch implementation of various neural network interpretability methods
lrp
gradcam
pytorch
deeplift
deconvnet
deepdream
smoothgrad
saliency-map
interpretable
cnn-visualization
nn-interpretability
integrated-gradients
taylor-decomposition
occlusion-sensitivity
gradient-visualization
guided-backpropagation
activation-maximization
interpretability-methods
interpretable-deep-learning
uncertainty-interpretability
Created
2020-10-12
17 commits to main branch, last one 2 years ago
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Created
2016-09-01
35 commits to master branch, last one 3 years ago
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Created
2022-03-04
648 commits to main branch, last one 5 days ago
TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing (2022)
Created
2022-01-11
12 commits to master branch, last one 2 years ago
Visualizing image-specific class saliency map in classification ConvNets in Pytorch
Created
2020-07-29
5 commits to master branch, last one 3 years ago
SIDU: SImilarity Difference and Uniqueness method for explainable AI
Created
2024-03-21
58 commits to main branch, last one 6 months ago
Demo code for the paper: OccAM's Laser
Created
2022-03-24
42 commits to main branch, last one about a year ago
[WACV2025] SUM: Saliency Unification through Mamba for Visual Attention Modeling
Created
2024-06-22
14 commits to main branch, last one 2 months ago