Popular GitHub Repositories for Activation 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.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

On-device wake word detection powered by deep learning

The state-of-the-art image restoration model without nonlinear activation functions.

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)

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

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

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

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

Diffusion attentive attribution maps for interpreting Stable Diffusion.

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

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

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

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

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function