127 skills found · Page 3 of 5
SantanderAI / Auto BayesianConfig-driven, interpretable Bayesian network training for relational tabular data.
hellerve-pl-experiments / MicromlA minimal ML, type-inferred, compiled, and/or interpreted in less than 750 lines
willbakst / Pytorch LatticeA PyTorch implementation of constrained optimization and modeling techniques
wubozhi / XmalA novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.
jphall663 / Diabetes Use CaseSample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
Jcharis / Interpreting Machine Learning ModelsInterpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
ottenbreit-data-science / AplrAPLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
12wang3 / MllpThe code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
jphall663 / Hc MlSlides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
bank-of-england / InterpretableMLWorkflowNo description available
navdeep-G / Interpretable MlTechniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
VishalKumar-S / Sales Conversion Optimization MLOps ProjectSales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
haveanicedaymydear / AI Text Cascade DetectUncertainty-gated two-stage AI-text detection with fast DTD routing and cross-family MS-LRC evidence. Sole-author submission to UncertaiNLP 2026 @ EMNLP.
SeanPLeary / Shapley Values H2o ExampleShapley Values with H2O AutoML Example (ML Interpretability)
benjaminpatrickevans / XAIGenetic programming method for explaining complex black-box models
AmirhosseinHonardoust / ML Powered Token Launch AuditorA hybrid Solidity + Python security toolkit that analyzes ERC-20 token contracts using static pattern extraction and ML-inspired scoring. Detects mint backdoors, blacklist controls, fee manipulation, trading locks, and rugpull mechanics. Outputs interpretable risk scores, labels, and structured features for deeper analysis.
AmirhosseinHonardoust / Python Solidity Feature EngineeringA practical, research-friendly toolkit demonstrating how Python can read, parse, and analyze Solidity smart contracts using feature-engineering techniques. Extracts structural and security-relevant signals from Solidity code, detects risky patterns, builds interpretable features, and forms the basis for heuristic or ML-driven security analysis.
AmirhosseinHonardoust / Crypto Price Equilibrium SimulatorAn explainable modeling system that analyzes cryptocurrency prices as equilibrium outcomes shaped by market forces. This simulator computes force decompositions, equilibrium bands, tension scores, and scenario-based what-if simulations to reveal how demand, supply, volatility, liquidity, and speculation negotiate price.
Henrilin28 / Awesome Interpretable MLA curated list for interpretable machine learning
schwettmann / Visual VocabPytorch-based tools for constructing a vocabulary of visual concepts in a GAN.
