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explainable-ml

Here are 272 public repositories matching this topic...

awojna / Rseslib

Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.

machine-learning knn imbalanced-data rough-sets decision-reducts interactive-machine-learning explainable-ml discernibility-matrix

Updated Aug 1, 2024
Java

truera / trulens

Evaluation and Tracking for LLM Experiments

machine-learning neural-networks explainable-ml llm llmops

Updated Aug 1, 2024
Jupyter Notebook

interpretml / interpret

Fit interpretable models. Explain blackbox machine learning.

machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml

Updated Aug 1, 2024
C++

jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Updated Aug 1, 2024

gesiscss / Discrimination-in-Relational-Classification

Data-driven discrimination in relational classification

machine-learning python3 bias explainable-ml relational-classification collective-inference

Updated Jul 30, 2024
Jupyter Notebook

MAIF / shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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

Updated Jul 29, 2024
Jupyter Notebook

JHoelli / Awesome-Time-Series-Explainability

A list of (post-hoc) XAI for time series

time-series awesome-list interpretability awesome-lists explainable-ai explainable-ml interpretable-machine-learning explainability explainable-time-series-prediction explainable-time-series-classification

Updated Jul 29, 2024

xplique

deel-ai / xplique

👋 Xplique is a Neural Networks Explainability Toolbox

interpretability explainable-ai explainable-ml xai

Updated Aug 1, 2024
Python

xmlx-dev / .github

XMLX GitHub configuration

explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability machine-learning-explainability

Updated Jul 26, 2024

KUSHALKUMARD / Customer-Churn-Prediction-App-Project

In this project, I utilized survival analysis models to assess how the likelihood of customer churn changes over time and to calculate customer Lifetime Value (LTV). Additionally, I implemented a Random Forest model to predict customer churn and deployed this model using a Flask web application.

random-forest hazard flask-application survival-analysis dataanalysis explainable-ai explainable-ml customer-churn-prediction partial-dependence-plots customer-churn-prediction-with-machine-learning shape-values

Updated Jul 24, 2024
Jupyter Notebook

salesforce / OmniXAI

OmniXAI: A Library for eXplainable AI

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

Updated Jul 23, 2024
Jupyter Notebook

danyvarghese / PyGol

A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.

machine-learning artificial-intelligence logic-programming automl automated-machine-learning inductive-logic-programming inference-engine automated-data-science explainable-ai explainable-ml abductive-learning abductive-commonsense-reasoning inverse-entailment pygol

Updated Jul 18, 2024
C

Trusted-AI / AIX360

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 Jul 16, 2024
Python

divelab / DIG

A library for graph deep learning research

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

Updated Jul 15, 2024
Python

PolyGlot

PolyPhyHub / PolyGlot

Web app for visualizing language embeddings in 3D space using the novel MCPM metric.

visualization nlp data-visualization embeddings explainable-ml

Updated Jul 12, 2024
JavaScript

jacobgil / pytorch-grad-cam

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 Jul 12, 2024
Python

microsoft / responsible-ai-workshop

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

machine-learning jupyter-notebook widgets ml principles fairness error-analysis explainable-ai explainable-ml fairness-ai explainability fairness-ml responsible-ai mlops-workshop

Updated Jul 11, 2024
Jupyter Notebook

microsoft / responsible-ai-toolbox

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 Aug 1, 2024
TypeScript

adaamko / POTATO

XAI based human-in-the-loop framework for automatic rule-learning.

nlp information-extraction classification nlp-machine-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning explainability

Updated Jul 7, 2024
Jupyter Notebook

imodels

csinva / imodels

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 Jul 6, 2024
Jupyter Notebook

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