110 Open source projects that are alternatives of or similar to neuron-importance-zsl

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Concept Bottleneck Models, ICML 2020

Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

Class Normalization for Continual Zero-Shot Learning

Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Python package to visualize and cluster partial dependence.

NeurIPS 2018. Linear-time model comparison tests.

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Faster and more precisely than Grad-CAM

Awesome Domain Adaptation Python Toolbox

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

A Visual-semantic embedding model using word2vec and CNNs

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

XAI Tutorial for the Explainable AI track in the ALPS winter school 2021

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

Implementation of Grad-CAM for text.

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

零样本学习

Molecular Explanation Generator

Zero-shot image tagging by hierarchical semantic embedding

No description or website provided.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Data generator for Arena - interactive XAI dashboard

Zero Shot Learning with Feature Generating Networks

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Dialogue Knowledge Transfer Networks (DiKTNet)

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Code for "Free-Lunch Saliency via Attention in Atari Agents"

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

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

Chainer implementation of Grad-CAM

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Collection of NLP model explanations and accompanying analysis tools

Codes for the ICCV'21 paper "FREE: Feature Refinement for Generalized Zero-Shot Learning"

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

Pytorch implementation of convolutional neural network visualization techniques

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

A collection of AWESOME things about domian adaptation

General-Purpose Neural Networks for Sentence Boundary Detection

Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

NLU: domain-intent-slot; text2SQL

A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.

🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

For calculating global feature importance using Shapley values.

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.