Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"
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Mar 13, 2025 - Python
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model-diagnostics
Here are 10 public repositories matching this topic...
🔍 AI-powered diagnosis for Scikit-learn models: Detect overfitting, data leakage, class imbalance & more with LLM-generated insights
python data-science machine-learning ai deep-learning scikit-learn sklearn overfitting mlops model-diagnostics llm langchain
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Jan 30, 2026 - Python
Polyhedron is a domain-driven Python optimization modeling framework that turns business entities into transparent MILP/MIQP models, with built-in diagnostics, scenario analysis, and robust solver interoperability.
python optimization milp pyomo operations-research scip mip mixed-integer-programming scenario-analysis modeling-framework model-diagnostics decision-optimization miqp
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Mar 14, 2026 - Python
Approximation Bayesian Computation: Population Monte Carlo in MATLAB and Python
approximate-bayesian-computation population-monte-carlo transition-density likelihood-free-inference posterior-sampling model-diagnostics summary-metrics epsilon-adaptation
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Mar 4, 2025 - Python
Explain why your model fails — not just how accurate it is.
visualization python data-science machine-learning scikit-learn model-evaluation error-analysis explainable-ai xai streamlit model-diagnostics
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Feb 3, 2026 - Python
Low-cost plasticity diagnostics for reinforcement learning models.
debugging reinforcement-learning deep-learning pytorch rl plasticity model-diagnostics analysis-tool
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Apr 11, 2026 - Python
Model Diagnostics App for Logistic Regression
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May 4, 2022 - Python
Working through the book and exercises Pandas for Everyone by Daniel Chen
python machine-learning clustering numpy scikit-learn machine-learning-algorithms pandas seaborn matplotlib linear-models generalized-linear-models tidydata model-diagnostics
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Aug 8, 2021 - Python
Nine diagnostic tools for detecting and understanding overfitting in scikit-learn models — polynomial overfitting, learning curves, validation curves, bias-variance decomposition, regularisation sweeps, data leakage detection, and more. Companion code for the ML Diagnostics Mastery series.
machine-learning scikit-learn regularization overfitting learning-curves data-leakage bias-variance-tradeoff model-diagnostics validation-curves ml-best-practices
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Apr 6, 2026 - Python
🩺 Diagnose model issues in scikit-learn with evidence-based insights and LLM-powered analysis for improved machine learning performance.
python data-science machine-learning ai deep-learning scikit-learn overfitting mlops model-diagnostics llm langchain
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Apr 13, 2026 - Python
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