explainable-ml

Here are 217 public repositories matching this topic...

mindsdb / mindsdb

A low-code Machine Learning platform to help developers build #AI solutions

mysql machine-learning clickhouse postgresql ml snowflake mariadb pytorch artificial-intelligence machine-learning-api hacktoberfest automl explainable-ai explainable-ml singlestore

Updated Mar 18, 2023
Python

jacobgil / pytorch-grad-cam

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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers

Updated Mar 9, 2023
Python

interpretml / interpret

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Fit interpretable models. Explain blackbox machine learning.

Updated Mar 18, 2023
C++

microsoft / tensorwatch

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Debugging, monitoring and visualization for Python Machine Learning and Data Science

python debugging data-science machine-learning reinforcement-learning ai monitoring deep-learning jupyter jupyter-notebook debug machinelearning deeplearning debugging-tool saliency explainable-ai explainable-ml model-visualization

Updated Apr 13, 2021
Jupyter Notebook

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

Updated Mar 10, 2023

MAIF / shapash

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🔅 Shapash makes Machine Learning models transparent and understandable by everyone

python machine-learning transparency lime interpretability ethical-artificial-intelligence explainable-ml shap explainability

Updated Mar 16, 2023
Jupyter Notebook

AstraZeneca / awesome-explainable-graph-reasoning

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A collection of research papers and software related to explainability in graph machine learning.

deep-learning graph graph-algorithms awesome-list graphml explainable-ai explainable-ml

Updated Apr 4, 2022

divelab / DIG

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A library for graph deep learning research

deep-learning graph-generation explainable-ml self-supervised-learning 3d-graph graph-neural-network

Updated Mar 14, 2023
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 Nov 9, 2022
Python

ModelOriented / DALEX

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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 Mar 10, 2023
Python

csinva / imodels

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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

python rules data-science machine-learning statistics ai scikit-learn ml artificial-intelligence supervised-learning interpretability explainable-ai explainable-ml rule-learning optimal-classification-tree rulefit imodels bayesian-rule-list

Updated Mar 17, 2023
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 Mar 16, 2023
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 30, 2021
Python

microsoft / responsible-ai-toolbox

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Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Updated Mar 17, 2023
TypeScript

salesforce / OmniXAI

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OmniXAI: A Library for eXplainable AI

machine-learning explanation explainable-ai explainable-ml interpretable-machine-learning

Updated Feb 13, 2023
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

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 Dec 19, 2022
Python

deel-ai / xplique

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👋 Xplique is a Neural Networks Explainability Toolbox

interpretability explainable-ai explainable-ml xai

Updated Mar 14, 2023
Python

explainX / explainx

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Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu