Reverse Dependencies of rouge-score

The following projects have a declared dependency on rouge-score:

• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• adaptor — Adaptor: Objective-centric Adaptation Framework for Language Models.
• agi-med-metrics — Utils for agi-med team metric calculation
• ai-metrics — A library for basic NLP metric score implementations
• ai2-catwalk — A library for evaluating language models.
• al360-trustworthyai-text — SDK API to assess text Machine Learning models.
• alexa-teacher-models — Alexa Teacher Models
• anoteai — An SDK for interacting with the Anote API
• arize — A helper library to interact with Arize AI APIs
• asia-ds1-toolbox — Toolbox for Asia data science challenge
• assert-llm-tools — Automated Summary Scoring & Evaluation of Retained Text
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autotrain-advanced — no summary
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• azureml-metrics — Contains the ML and non-Azure specific common code associated with AzureML metrics.
• biochatter — Backend library for conversational AI in biomedicine
• chateval — Evaluation Framework for Chatbots in Generative AI
• classy-core — A powerful tool to train and use your classification models.
• codegen-metrics — Package for computation of code generation metrics
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• Comprehensive-RAG-Evaluation-Metrics — This library provides a comprehensive suite of metrics to evaluate the performance of Retrieval-Augmented Generation (RAG) systems. RAG systems, which combine information retrieval with text generation, present unique evaluation challenges beyond those found in standard language generation tasks
• compression-distance — A compression-based edit distance metric for text comparison
• crfm-helm — Benchmark for language models
• cv-parsing — NLP Application to parse RH Curriculum Vitae for the RH department
• danoliterate — Benchmark of Generative Large Language Models in Danish
• dfcx-scrapi — A high level scripting API for bot builders, developers, and maintainers.
• dimweb-persona-bot — A dialogue bot with a personality
• diversity — no summary
• docuverse — State-of-the-art Retrieval/Search engine models, including ElasticSearch, ChromaDB, Milvus, and PrimeQA
• domino-code-assist — no summary
• easy-testing — Framework for testing
• easyinstruct — An Easy-to-use Instruction Processing Framework for Large Language Models.
• easyllm-kit — An easy recipes of code for large language model
• entail — Python Distribution Utilities
• eval-mm — eval-mm is a tool for evaluating Multi-Modal Large Language Models.
• evalRagPk — A library for evaluating Retrieval-Augmented Generation (RAG) systems
• evalscope — EvalScope: Lightweight LLMs Evaluation Framework
• evaluate — HuggingFace community-driven open-source library of evaluation
• evaluator-blog — no summary
• examinationrag — XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
• fanoutqa — The companion code for the FanOutQA dataset + benchmark for LLMs.
• fate-llm — Federated Learning for Large Language Models
• flagai — FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.
• FLAML — A fast library for automated machine learning and tuning
• fmeval — Amazon Foundation Model Evaluations
• furiosa-llm-models — Furiosa LLM
• gem-metrics-fork — GEM Challenge metrics
• geniusrise-text — Text bolts for geniusrise
• geniusrise-vision — Huggingface bolts for geniusrise
• grag — A simple package for implementing RAG
• h2ogpt — no summary
• hezar — Hezar: The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!
• hinteval — A Python framework designed for both generating and evaluating hints.
• indic-eval — A package to make LLM evaluation easier
• instruct-qa — Empirical evaluation of retrieval-augmented instruction-following models.
• instructlab — Core package for interacting with InstructLab
• jury — Evaluation toolkit for neural language generation.
• keras-hub — Industry-strength Natural Language Processing extensions for Keras.
• keras-hub-nightly — Industry-strength Natural Language Processing extensions for Keras.
• koai — Korean AI Project
• kogito — A Python NLP Commonsense Knowledge Inference Toolkit
• kurenai — Thin wrapper of google-research's rouge-score; supports non-ascii by default
• langcheck — Simple, Pythonic building blocks to evaluate LLM-based applications
• langeval — An evaluation library for NLP models
• langfair — LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
• LangRAGEval — LangRAGEval is a library for evaluating responses based on faithfulness, context recall, answer relevancy, and context relevancy.
• langsafe — An evaluation library for NLP models
• langtests — An evaluation library for NLP models
• lighteval — A lightweight and configurable evaluation package
• llama-cookbook — Llama-cookbook is a companion project to the Llama models. It's goal is to provide examples to quickly get started with fine-tuning for domain adaptation and how to run inference for the fine-tuned models.
• llama-recipes — Llama-recipes is a companion project to the Llama models. It's goal is to provide examples to quickly get started with fine-tuning for domain adaptation and how to run inference for the fine-tuned models.
• llm-blender — LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths and weaknesses of multiple open-source large language models (LLMs). LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
• llm-toolkit — LLM Finetuning resource hub + toolkit
• llmebench — A Flexible Framework for Accelerating LLMs Benchmarking
• llmetrics — A metrics and evaluation library for LLMs
• llmsanitize — LLMSanitize: a package to detect contamination in LLMs
• llmuses — Eval-Scope: Lightweight LLMs Evaluation Framework
• lm-eval — A framework for evaluating language models
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• longeval — Prepare your summarization data in a format compatible with the longeval guidelines for human evaluation.
• luna-nlg — Source code for the LUNA project
• mallm — Multi-Agent Large Language Models for Collaborative Task-Solving.
• mblm — Multiscale Byte Language Model
• ml-init — Install the main ML libraries
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• ms-opencompass — A lightweight toolkit for evaluating LLMs based on OpenCompass.
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• mygpt — A locally runnable LLM
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• neuroprompt — A smart prompt compression and optimization tool for LLMs
• nlg-metricverse — An End-to-End Library for Evaluating Natural Language Generation.
• nlpboost — A package for automatic training of NLP (transformers) models
• nutmegredundancysolver — no summary
• oarelatedworkevaluator — Package for evaluation of OARelatedWork dataset.
• ohmeow-blurr — A library designed for fastai developers who want to train and deploy Hugging Face transformers
• opencompass — A comprehensive toolkit for large model evaluation
• parsbench — ParsBench provides toolkits for benchmarking LLMs based on the Persian language tasks.
• primeqa — State-of-the-art Question Answering
• pt-pump-up — Hub for Portuguese NLP resources