Skip to content
#

explainable-ai

Star

Here are 302 public repositories matching this topic...

Language: All
Filter by language
All 302 Python 109 Jupyter Notebook 104 HTML 13 R 11 JavaScript 7 Java 6 C++ 5 TypeScript 4 CSS 3 MATLAB 3
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

microsoft / responsible-ai-widgets

Star
Open

[Error Analysis] Support for bringing in features that are not being used by the model but useful for error analysis

nushib
nushib commented Jun 2, 2021

Suggested by Melanie Fernandez Pradier:

“Given a model trained on certain features, is there any way I can include additional features (not used in training) but that I want to monitor in the error analysis?"

This is currently possible by enriching the set of input features to the dashboard after the inference step. However, will need further support on the UI side to clearly mark features t

Read more
Design Error Analysis documentation enhancement
hierarchical-dnn-interpretations

csinva / hierarchical-dnn-interpretations

Star

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

python data-science machine-learning statistics deep-neural-networks ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-networks acd interpretation iclr interpretability feature-importance explainable-ai explainability
  • Updated Mar 14, 2021
  • Jupyter Notebook

declare-lab / dialogue-understanding

Star

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

natural-language-processing sentiment-analysis dialogue pytorch lstm pretrained-models emotion-analysis bert dialogue-systems conversational-agents emotion-recognition natural-language-understanding conversational-ai adversarial-attacks explainable-ai dialogue-act emotion-recognition-in-conversation bert-embeddings dialogue-understanding utterance-level-dialogue
  • Updated Jun 12, 2021
  • Python
deep-explanation-penalization

laura-rieger / deep-explanation-penalization

Star

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

python data-science machine-learning ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-network fairness interpretability cdep feature-importance recurrent-neural-network interpretable-deep-learning explainable-ai explainability fairness-ml
  • Updated Mar 22, 2021
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the explainable-ai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the explainable-ai topic, visit your repo's landing page and select "manage topics."

Learn more