The Wayback Machine - https://web.archive.org/web/20220523121724/https://github.com/topics/explainable-ai
Skip to content
#

explainable-ai

Star

Here are 453 public repositories matching this topic...

Language: All
Filter by language
All 453 Python 174 Jupyter Notebook 161 HTML 16 R 14 JavaScript 9 Java 7 C++ 5 MATLAB 5 TeX 5 TypeScript 5
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

kmario23 / deep-learning-drizzle

Star 10.1k

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks
  • Updated Apr 10, 2022
  • HTML

microsoft / tensorwatch

Star 3.2k

microsoft / responsible-ai-toolbox

Star 486
Open

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

1
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
documentation enhancement good first issue Error Analysis

ScalaConsultants / Aspect-Based-Sentiment-Analysis

Star 359
Open

Extract Weights and scores from result

1
AymenBenk
AymenBenk commented Jun 29, 2021

`import numpy as np
import aspect_based_sentiment_analysis as absa
from aspect_based_sentiment_analysis import alignment
from aspect_based_sentiment_analysis import Example

text = "I love mascara"
aspects = ['mascara']

recognizer = absa.aux_models.BasicPatternRecognizer()
nlp = absa.load(pattern_recognizer=recognizer)
task = nlp(text=text, aspects=aspects)
slack = task.examples

pri

Read more
good first issue
adversarial-explainable-ai

hbaniecki / adversarial-explainable-ai

Sponsor
Star 144

💡 Adversarial attacks on model explanations, and evaluation approaches
security evaluations attacks interpretability robustness adversarial-machine-learning adversarial-examples adversarial-attacks model-explanation interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning iml explainability responsible-ai adversarial-defense adversarial-xai
  • Updated Apr 27, 2022

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