nkusyl

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

shap

A game theoretic approach to explain the output of any machine learning model.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

pytorch-grad-cam

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

torch-cam

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)

vit-explain

Explainability for Vision Transformers

Grad-CAM.pytorch

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...

InterpretDL

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

CCAM

[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

integrated-gradient-pytorch

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

vision-transformer-from-scratch

A Simplified PyTorch Implementation of Vision Transformer (ViT)

vision_transformers_explained

This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series published on Towards Data Science written by Skylar Callis.

VIB_pytorch

an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)

M2IB

Code for the paper Visual Explanations of Image–Text Representations via Multi-Modal Information Bottleneck Attribution

vit-shapley

vib

Theory and PyTorch implementation of Deep Variational Information Bottleneck

IA-ViT

codes for paper "Interpretability-Aware Vision Transformer"

IntegratedGradCAM

Integrated Grad-CAM (submitted to ICASSP2021 conference)

IBA

ExpectedGradients_IntegratedGradients_pytorch

simple implementation of Expected Gradients and Integrated Gradients by pytorch

Student-Information-Management-System

MFC 学生信息管理系统

DVIB

A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

test-online

mfc在线考试系统，包括学生答题、管理员修改学生信息、试题等。

TestSystem

基于MFC实现试卷管理系统，主要实现基本的登录、修改用户信息，查看、修改试卷信息，查看、修改学生成绩信息

JgManage-student

MFC数据结构课程设计，考试管理系统，学生信息管理系统

NJU-StudentSystem-MFC

基于MFC实现的简易的多文件学生信息管理系统

VIBI

In-depth experiments for VIBI (Variational Information Bottleneck for Interpretability) for MNIST and CIFAR10 written in Python and PyTorch.

fvib

Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training

faculty-information-management-system

基于MFC的教职工信息管理系统

ListCustom

採用MFC的CListCtrl類別來將資料做列表的呈現，且列表可進行列表內容的修改