ExplainaBoard
Model Comparer
An interactive tool to analyze and compare the performance of natural language processing models
Interpretable Evaluation for AI Systems
362 stars
11 watching
36 forks
Language: Python
last commit: almost 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for comparing the performance of different language generation systems. | 467 |
| A toolset for evaluating and comparing natural language generation models | 1,350 |
| Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,373 |
| A tool to help understand and explain the behavior of complex machine learning models | 1,390 |
| An interactive tool for exploring and understanding the behavior of machine learning models | 928 |
| A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data. | 176 |
| Evaluates and visualizes the performance of machine learning models. | 1,258 |
| An ALE plot generation tool for explaining machine learning model predictions | 160 |
| A tool for testing and evaluating large language models with a focus on AI safety and model assessment. | 506 |
| Evaluates language models using standardized benchmarks and prompting techniques. | 2,059 |
| An exploratory tool for analyzing and understanding machine learning models | 14 |
| An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
| Provides explanations for why an instance has a certain outcome by contrasting it with what would have happened if the outcome had been different. | 45 |
| An R package for providing explanations of predictions made by black box classifiers. | 486 |
| Provides methods to interpret and explain the behavior of machine learning models | 494 |