model-explainability

A minimal, reproducible explainable-AI demo using SHAP values on tabular data. Trains RandomForest or LogisticRegression models, computes global and local feature importances, and visualizes results through summary and dependence plots, all in under 100 lines of Python.

python open-source data-science machine-learning random-forest tabular-data data-visualization logistic-regression reproducibility model-interpretation feature-importance classification-model explainable-ai interpretable-machine-learning shap responsible-ai shap-values model-explainability trustworthy-ai model-audit

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Python

openlayer-ai / openlayer-python

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The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

machine-learning ai tensorflow ml unbox model-deployment ml-infrastructure synthetic-dataset-generation openlayer data-centric mlops machine-learning-operations model-explainability

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Python

aikho / retrivex

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Explainability toolkit for retrieval models. Explain prediction of vector search models (embeddings similarity models, siamese encoders, bi-encoders, dense retrieval models). Debug your vector search models for RAG or agentic AI system.

machine-learning information-retrieval ai deep-learning neural-network transformers similarity embeddings explainable-ai explainability vector-search sentence-transformers model-explainability transformer-model embedding-explainability similarity-explainability

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Jupyter Notebook

Daniel-Andarge / AiML-financial-fraud-detection-model

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The Fraud Detection project aims to improve identification of fraudulent activities in e-commerce and banking by developing advanced machine learning models that analyze transaction data, employ feature engineering, and implement real-time monitoring for high accuracy fraud detection.

python sql numpy scikit-learn eda pandas ci-cd feature-engineering flask-api lime shap model-explainability

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Jupyter Notebook

Arize-ai / client_java

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A Java client to interact with Arize API

performance-monitoring data-quality-monitoring model-monitoring ml-monitoring model-explainability ai-monitoring drift-monitoring ml-observability ai-observability model-performance-management ai-roi model-observability

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Java

Amey-Thakur / KAGGLE-COURSES

Sponsor

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A comprehensive archive of completed Kaggle Data Science, Machine Learning, and Data Manipulation courses, documenting structured Python exercises and certifications.

python data-science machine-learning deep-learning pandas data-visualization kaggle courses data-manipulation feature-engineering data-science-portfolio data-cleaning machine-learning-tutorials machine-learning-explainability intro-to-ml kaggle-courses model-explainability ameythakur amey feature-engineering-python

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Jupyter Notebook

kkm24132 / ResponsibleAI

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Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.

bias fairness human-centered-design human-centered-data-science responsible-ai ethical-ai model-explainability evaluation-bias

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zabir-nabil / What-If-Explainability

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Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool

machine-learning lightgbm what-if-analysis shapley-value what-if-tool model-explainability

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Jupyter Notebook

arthur-ai / arthur-sandbox

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Example projects for Arthur Model Monitoring Platform

model-monitoring ai-explainability ml-monitoring model-explainability ai-monitoring ml-observability ai-observability model-performance-management

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Jupyter Notebook

KyriakosPsa / Transfer-Learning-Vision

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Study on the performance of pre-trained models (VGG16, EfficientNetb0, ResNet50, ViT16) with weight fine tuning, as well as classical ML algorithms (Naive Bayes, Logistic Regression, Random Forest) on a dataset of 6.806 fungi microscopy Images utilizing Pytorch.

machine-learning computer-vision deep-learning transfer-learning vgg16 resnet-50 efficientnet vision-transformer model-explainability

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Jupyter Notebook

Gianatmaja / Early-Fault-Detection-System

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A proof-of-concept for the implementation of an early fault detection system in oil wells, designed to enhance operational efficiency and reduce costs.

machine-learning kedro experiment-tracking auto-eda model-explainability

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Python

0xUnkn0wn4M1R / data_engineering_banking_project

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🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

data-science machine-learning automation sql numpy scikit-learn postgresql data-analysis segmentation feature-engineering unsupervised-learning flask-api data-cleaning loan-default-prediction mlops shap model-explainability fintech-bank

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Python

pgplarosa / Predicting-User-Behavior-for-Marketing-Campaign

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Machine Learning Individual Project - November 23, 2021

machine-learning imbalanced-data marketing-analytics model-explainability

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HTML

Gianatmaja / WhizML

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A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.

data-science machine-learning object-oriented-programming bias-detection ml-experiments experiment-tracking data-drift auto-eda model-explainability

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Python

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