EDiT

jianbo-lab/l2x123

Model Interpreter

A Python framework for learning to interpret models using information-theoretic methods

applieddatasciencepartners/xgboostexplainer253

Model interpreter

Provides tools to understand and interpret the decisions made by XGBoost models in machine learning

h2oai/mli-resources483

Model interpreter

Provides tools and techniques for interpreting machine learning models

interpretml/dice1.4K

Model explanations

Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding.

declare-lab/instruct-eval535

Model evaluator

An evaluation framework for large language models trained with instruction tuning methods

mayer79/flashlight22

Model interpreter

A toolset for understanding and interpreting complex machine learning models

csinva/imodels1.4K

Interpretable model library

An open-source package that provides interpretable machine learning models compatible with scikit-learn.

openai/simple-evals2.1K

Model Evaluator

Evaluates language models using standardized benchmarks and prompting techniques.

allenai/olmo-eval326

Evaluation pipeline

A framework for evaluating language models on NLP tasks

phipsgabler/operajonal6

Program interpreter

A JavaScript implementation of an operational monad style for recursive program interpretation

ukplab/linspector24

Word representation interpreter

A framework to interpret multilingual NLP models and understand their word representations.

datamllab/xdeep42

Interpreter

Provides tools for interpreting deep neural networks

quchen/stgi529

Program Execution Model Interpreter

An interpreter for a visual programming model to help understand Haskell's execution model

maluuba/nlg-eval1.4K

Model evaluator

A toolset for evaluating and comparing natural language generation models

cofinalsubnets/wisp115

Lisp interpreter

A Haskell-based interpreted Lisp language with features like lexical closures and continuations, designed to be easily embedded in other programs.