Open
Interpret
5
#
explainable-ml
Here are 130 public repositories matching this topic...
Predictive AI layer for existing databases.
mysql
machine-learning
tensorflow
clickhouse
ml
mariadb
pytorch
artificial-intelligence
machine-learning-api
hacktoberfest
automl
explainable-ai
explainable-ml
xai
xai-library
ai-tables
-
Updated
Jul 16, 2021 - Python
orihime-kitajima
commented
Jul 3, 2019
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
A curated list of awesome machine learning interpretability resources.
python
data-science
machine-learning
data-mining
awesome
r
awesome-list
transparency
fairness
accountability
interpretability
interpretable-deep-learning
interpretable-ai
interpretable-ml
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
-
Updated
Jul 4, 2021
python
machine-learning
transparency
lime
interpretability
ethical-artificial-intelligence
explainable-ml
shap
explainability
-
Updated
Jul 9, 2021 - Jupyter Notebook
Interpretability and explainability of data and machine learning models
machine-learning
deep-learning
artificial-intelligence
ibm-research
explainable-ai
explainable-ml
xai
ibm-research-ai
codait
trusted-ai
trusted-ml
explainabil
-
Updated
May 2, 2021 - Python
moDel Agnostic Language for Exploration and eXplanation
black-box
data-science
machine-learning
predictive-modeling
fairness
interpretability
explainable-artificial-intelligence
explanations
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
dalex
responsible-ai
responsible-ml
explanatory-model-analysis
-
Updated
Jul 13, 2021 - Python
A library for graph deep learning research
deep-learning
graph-generation
explainable-ml
self-supervised-learning
3d-graph
graph-neural-network
-
Updated
Jul 14, 2021 - Python
XAI - An eXplainability toolbox for machine learning
machine-learning
ai
evaluation
ml
artificial-intelligence
upsampling
bias
interpretability
feature-importance
explainable-ai
explainable-ml
xai
imbalance
downsampling
explainability
bias-evaluation
machine-learning-explainability
xai-library
-
Updated
Jul 5, 2021 - Python
A collection of research papers and software related to explainability in graph machine learning.
-
Updated
Jul 15, 2021
Generate Diverse Counterfactual Explanations for any machine learning model.
machine-learning
deep-learning
explainable-ai
explainable-ml
xai
interpretable-machine-learning
counterfactual-explanations
-
Updated
Jul 9, 2021 - Python
H2O.ai Machine Learning Interpretability Resources
python
data-science
machine-learning
data-mining
h2o
xgboost
transparency
jupyter-notebooks
fairness
accountability
interpretability
interpretable-ai
interpretable-ml
explainable-ml
mli
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
-
Updated
Dec 12, 2020 - Jupyter Notebook
machine-learning
deep-learning
sentiment-analysis
tensorflow
transformers
interpretability
aspect-based-sentiment-analysis
explainable-ai
explainable-ml
distill
bert-embeddings
transformer-models
-
Updated
Jul 11, 2021 - Python
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
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
machine-learning
scikit-learn
transparency
blackbox
bias
interpretability
explainable-artificial-intelligence
interpretable-ai
explainable-ai
explainable-ml
xai
interpretable-machine-learning
machine-learning-interpretability
explainability
aws-sagemaker
explainx
-
Updated
Feb 7, 2021 - Jupyter Notebook
machine-learning
predictive-modeling
interactive-visualizations
interpretability
explainable-artificial-intelligence
explainable-ai
explainable-ml
xai
model-visualization
interpretable-machine-learning
iml
explainability
explanatory-model-analysis
explainable-machine-learning
-
Updated
Jul 13, 2021 - R
Examples of Data Science projects and Artificial Intelligence use cases
python
data-science
machine-learning
natural-language-processing
reinforcement-learning
computer-vision
deep-learning
time-series
examples
regression
data-visualization
artificial-intelligence
classification
explainable-ai
explainable-ml
-
Updated
Jul 13, 2021 - Jupyter Notebook
A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
classifier
machine-learning
deep-learning
random-forest
ensemble
ensemble-learning
game-theory
voting-classifier
random-forest-classifier
explainable-ai
explainable-ml
weighted-voting-games
shapley
owen
shapley-value
game-theory-toolbox
voting-game
-
Updated
Jul 12, 2021 - Python
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
-
Updated
Aug 22, 2020 - Python
security
attacks
interpretability
adversarial-learning
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
Jul 3, 2021
Explaining the output of machine learning models with more accurately estimated Shapley values
-
Updated
Jun 29, 2021 - R
All about explainable AI, algorithmic fairness and more
interpretability
explainable-artificial-intelligence
interpretable-deep-learning
interpretable-ai
explainable-ai
explainable-ml
interpretable-machine-learning
-
Updated
Jun 20, 2021
Amazon SageMaker Solution for explaining credit decisions.
machinelearning
financial-analysis
credit-scoring
explainable-ai
explainable-ml
sagemaker
loan-prediction-analysis
shapley
explainability
aws-sagemaker
-
Updated
Jun 2, 2021 - Python
Fast approximate Shapley values in R
variable-importance
explainable-ai
explainable-ml
xai
shapley
interpretable-machine-learning
shapley-values
-
Updated
Mar 3, 2021 - R
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
contrastive
counterfactual
explainable-ai
explainable-ml
xai
interpretable-machine-learning
fairness-ai
aif360
fairness-ml
alibi
prototypical
aix360
fairness-indicators
-
Updated
Jun 5, 2020 - Jupyter Notebook
Flexible tool for bias detection, visualization, and mitigation
-
Updated
Jul 2, 2021 - R
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
machine-learning
human-in-the-loop
interpretability
explainable-artificial-intelligence
researchers
interactive-machine-learning
deep-learning-visualization
human-in-the-loop-machine-learning
explainable-ml
xai
interpretable
interpretable-machine-learning
iml
model-interpretability
explainable
interpretable-models
explainable-models
interpretable-learning
explaining-ai
explanation-methods
-
Updated
Jun 18, 2021 - R
Model Agnostic Counterfactual Explanations
machine-learning
explainable-ai
explainable-ml
xai
interpretable-machine-learning
counterfactual-explanations
-
Updated
Mar 29, 2021 - Python
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
machine-learning
data-mining
inductive-logic-programming
explainable-ai
explainable-ml
rule-induction
-
Updated
Mar 28, 2020 - Prolog
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
machine-learning
tensorflow
keras
artificial-intelligence
ids
autoencoder
mlp
explanation
concept-drift
interpretability
explainable-ai
explainable-ml
xai
machine-learning-security
drebin
self-supervised-learning
contrastive-learning
ids2018
-
Updated
Dec 5, 2020 - Python
Improve this page
Add a description, image, and links to the explainable-ml topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the explainable-ml topic, visit your repo's landing page and select "manage topics."
Yes