interpretml / interpret

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Open

Interpret

4

wh3nd1g0h commented Jul 29, 2020

Yes

microsoft / tensorwatch

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Open

How to use Watcher / WatcherClient over tcp/ip network? (ex. cloud - local)

2

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?

mindsdb / mindsdb

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Machine Learning in one line of code

machine-learning tensorflow ml pytorch artificial-intelligence ludwig automl explainable-ai explainable-ml xai xai-library

Updated Aug 26, 2020
Python

jphall663 / awesome-machine-learning-interpretability

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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 Aug 26, 2020

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex explanatory-model-analysis

Updated Aug 26, 2020
Python

Trusted-AI / AIX360

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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 Aug 17, 2020
Python

EthicalML / xai

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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 Oct 5, 2019
Python

h2oai / mli-resources

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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 May 22, 2020
Jupyter Notebook

interpretml / DiCE

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Generate Diverse Counterfactual Explanations for any machine learning model.

machine-learning deep-learning explainable-ai explainable-ml xai interpretable-machine-learning counterfactual-explanations

Updated Aug 24, 2020
Python

ModelOriented / modelStudio

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📍 Interactive Studio for Explanatory Model Analysis

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 Aug 26, 2020
R

ScalaConsultants / Aspect-Based-Sentiment-Analysis

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💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

machine-learning deep-learning sentiment-analysis tensorflow transformers interpretability aspect-based-sentiment-analysis explainable-ai explainable-ml distill bert-embeddings transformer-models

Updated Aug 20, 2020
Python

d909b / cxplain

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Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

machine-learning deep-learning interpretability explainable-ai explainable-ml explainability

Updated Aug 22, 2020
Python

NorskRegnesentral / shapr

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Explaining the output of machine learning models with more accurately estimated Shapley values

rcpp rstats rcpparmadillo explainable-ai explainable-ml shapley

Updated Aug 24, 2020
R

firmai / ml-fairness-framework

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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

bgreenwell / fastshap

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Fast approximate Shapley values in R

variable-importance explainable-ai explainable-ml xai shapley interpretable-machine-learning shapley-values

Updated Aug 25, 2020
R

mdipietro09 / DataScience_ArtificialIntelligence_Utils

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Examples of Data Science projects and Artificial Intelligence problems

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 Aug 4, 2020
Jupyter Notebook

andreysharapov / xaience

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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 Jul 20, 2020

fxs130430 / SHAP_FOLD

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(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

awslabs / sagemaker-explaining-credit-decisions

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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 Aug 18, 2020
Python

jphall663 / diabetes_use_case

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Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

python data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

Updated Sep 7, 2018
Jupyter Notebook

rehmanzafar / xai-iml-sota

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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 Aug 23, 2020
R

ModelOriented / fairmodels

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Flexible tool for bias detection, visualization, and mitigation

fairness model-evaluation explainable-ml fairness-ml explain-classifiers fairness-comparison

Updated Aug 20, 2020
R

jphall663 / hc_ml

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Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

data-science machine-learning data-mining transparency fairness accountability interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated Nov 19, 2019
TeX

hbaniecki / awesome-adversarial-interpretable-machine-learning

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💡 A curated list of awesome adversarial interpretable machine learning resources

list machine-learning awesome awesome-list interpretability adversarial-learning adversarial-machine-learning adversarial-examples explainable-artificial-intelligence adversarial-attacks interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning iml adversarial-defense

Updated Jul 30, 2020

rehmanzafar / dlime_experiments

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In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

random-forest scikit-learn python3 neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

Updated Aug 17, 2020
Jupyter Notebook

ModelOriented / vivo

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Variable importance via oscillations

variable-importance explainable-artificial-intelligence explainable-ai explainable-ml xai interpretable-machine-learning iml

Updated Jul 27, 2020
R

h2oai / article-information-2019

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Article for Special Edition of Information: Machine Learning with Python

python data-science machine-learning interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml fairness-testing interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated May 6, 2020
Jupyter Notebook

heytitle / thesis-designing-recurrent-neural-networks-for-explainability

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thesis tensorflow rnn explainable-ml

Updated Mar 15, 2019
Jupyter Notebook

amirhk / mace

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Model Agnostic Counterfactual Explanations

machine-learning explainable-ai explainable-ml xai interpretable-machine-learning counterfactual-explanations

Updated Jun 24, 2020
Python

DelTA-Lab-IITK / U-CAM

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Visual Explanation using Uncertainty based Class Activation Maps

python machine-learning deep-learning dropout vqa bayesian-inference bayesian-neural-networks explainable-ai explainable-ml pyotrch

Updated Jan 27, 2020
Python

explainable-ml

Here are 80 public repositories matching this topic...

interpretml / interpret

Interpret

microsoft / tensorwatch

How to use Watcher / WatcherClient over tcp/ip network? (ex. cloud - local)

mindsdb / mindsdb

jphall663 / awesome-machine-learning-interpretability

ModelOriented / DALEX

Trusted-AI / AIX360

EthicalML / xai

h2oai / mli-resources

interpretml / DiCE

ModelOriented / modelStudio

ScalaConsultants / Aspect-Based-Sentiment-Analysis

d909b / cxplain

NorskRegnesentral / shapr

firmai / ml-fairness-framework

bgreenwell / fastshap

mdipietro09 / DataScience_ArtificialIntelligence_Utils

andreysharapov / xaience

fxs130430 / SHAP_FOLD

awslabs / sagemaker-explaining-credit-decisions

jphall663 / diabetes_use_case

rehmanzafar / xai-iml-sota

ModelOriented / fairmodels

jphall663 / hc_ml

hbaniecki / awesome-adversarial-interpretable-machine-learning

rehmanzafar / dlime_experiments

ModelOriented / vivo

h2oai / article-information-2019

heytitle / thesis-designing-recurrent-neural-networks-for-explainability

amirhk / mace

DelTA-Lab-IITK / U-CAM

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