StellarGraph - Machine Learning on Graphs
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Updated
Apr 10, 2024 - Python
StellarGraph - Machine Learning on Graphs
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)
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Public facing deeplift repo
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
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.
Implementations of some popular Saliency Maps in Keras
Detect model's attention
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Unified Image and Video Saliency Modeling (ECCV 2020)
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Pytorch implementation of various neural network interpretability methods
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
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