Popular GitHub Repositories for Saliency Maps

Image augmentation for machine learning experiments.

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

Pytorch implementation of convolutional neural network visualization techniques

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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.

High Resolution Depth Maps for Stable Diffusion WebUI

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

?100+ LLM & RL Algorithm Maps！? | 原创 LLM / RL 100+原理图?，由《大模型算法》作者发起

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

? Images to → 3D Parallax effect video. A free and open source ImmersityAI alternative

Diffusion attentive attribution maps for interpreting Stable Diffusion.

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP