evaluate
Model Evaluator
An evaluation framework for machine learning models and datasets, providing standardized metrics and tools for comparing model performance.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
2k stars
47 watching
263 forks
Language: Python
last commit: 4 months ago
Linked from 2 awesome lists
evaluationmachine-learning
ethicalml/awesome-production-machine-learning
jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
 modelscope/evalscope | A framework for efficiently evaluating and benchmarking large models | 308 |
| huggingface/lighteval | An all-in-one toolkit for evaluating Large Language Models (LLMs) across multiple backends. | 879 |
 openai/simple-evals | Evaluates language models using standardized benchmarks and prompting techniques. | 2,059 |
 chenllliang/mmevalpro | A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline. | 22 |
 edublancas/sklearn-evaluation | A tool for evaluating and visualizing machine learning model performance | 3 |
 allenai/olmo-eval | A framework for evaluating language models on NLP tasks | 326 |
 declare-lab/instruct-eval | An evaluation framework for large language models trained with instruction tuning methods | 535 |
 open-evals/evals | A framework for evaluating OpenAI models and an open-source registry of benchmarks. | 19 |
 obss/jury | A comprehensive toolkit for evaluating NLP experiments offering automated metrics and efficient computation. | 187 |
 maluuba/nlg-eval | A toolset for evaluating and comparing natural language generation models | 1,350 |
 evolvinglmms-lab/lmms-eval | Tools and evaluation framework for accelerating the development of large multimodal models by providing an efficient way to assess their performance | 2,164 |
 tsb0601/mmvp | An evaluation framework for multimodal language models' visual capabilities using image and question benchmarks. | 296 |
 tatsu-lab/alpaca_eval | An automatic evaluation tool for large language models | 1,568 |
 mlabonne/llm-autoeval | A tool to automate the evaluation of large language models in Google Colab using various benchmarks and custom parameters. | 566 |
 stanford-crfm/helm | A framework to evaluate and compare language models by analyzing their performance on various tasks | 1,981 |