Reverse Dependencies of sacrebleu

The following projects have a declared dependency on sacrebleu:

• 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.
• ai-metrics — A library for basic NLP metric score implementations
• ai2-catwalk — A library for evaluating language models.
• aigc-evals — aigc_evals
• alexa-teacher-models — Alexa Teacher Models
• arize — A helper library to interact with Arize AI APIs
• audiossl — no summary
• autogluon-contrib-nlp — MXNet GluonNLP Toolkit (DeepNumpy Version)
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• bleuscore — A fast bleu score calculator
• classy-core — A powerful tool to train and use your classification models.
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• commode-utils — Set of useful functions and modules for Code Modeling
• compare-mt — Holistic comparison of the output of text generation 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
• compromise-marian — Marian model but with two decoders
• crfm-helm — Benchmark for language models
• DashAI — DashAI: a graphical toolbox for training, evaluating and deploying state-of-the-art AI models.
• datalabs — Datalabs
• deepa2 — Cast NLP data as multiangular DeepA2 datasets and integrate these in training pipeline
• delta-nlp — DELTA is a deep learning based natural language and speech processing platform.
• dialogues — This package provides a unified interface to several dialogue benchmarks
• eole — Open language modeling toolkit based on PyTorch
• espnet — ESPnet: end-to-end speech processing toolkit
• eval-mm — eval-mm is a tool for evaluating Multi-Modal Large Language Models.
• evalRagPk — A library for evaluating Retrieval-Augmented Generation (RAG) systems
• evals — no summary
• evals-nightly — no summary
• evalscope — EvalScope: Lightweight LLMs Evaluation Framework
• evaluate — HuggingFace community-driven open-source library of evaluation
• examinationrag — XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
• explainaboard — Explainable Leaderboards for Natural Language Processing
• fairseq — Facebook AI Research Sequence-to-Sequence Toolkit
• fairseq2 — FAIR Sequence Modeling Toolkit
• fairseq2-patch — FAIR Sequence Modeling Toolkit
• flagai — FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.
• flexeval — no summary
• flexrag — A RAG Framework for Information Retrieval and Generation.
• formerbox — no summary
• gem-metrics-fork — GEM Challenge metrics
• generate-sequences — no summary
• genienlp — no summary
• geniusrise-text — Text bolts for geniusrise
• geniusrise-vision — Huggingface bolts for geniusrise
• git-t5 — Open source machine learning framework for training T5 models on source code in JAX/Flax.
• guardrails-ai-unbabel-comet — High-quality Machine Translation Evaluation
• h2ogpt — no summary
• indic-eval — A package to make LLM evaluation easier
• IndicTrans2 — Indic NLP package
• janus-llm — A transcoding library using LLMs.
• joeynmt — Minimalist NMT for educational purposes
• jrvc — Libraries for RVC inference
• jury — Evaluation toolkit for neural language generation.
• kogito — A Python NLP Commonsense Knowledge Inference Toolkit
• kogitune — The Kogitune 🦊 LLM Project
• LangRAGEval — LangRAGEval is a library for evaluating responses based on faithfulness, context recall, answer relevancy, and context relevancy.
• lens-metric — A learnable evaluation metric for text simplification
• lighteval — A lightweight and configurable evaluation package
• lightyear — lightyear
• lit-nlp — Language Interpretability Tool.
• 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.
• llmuses — Eval-Scope: Lightweight LLMs Evaluation Framework
• lm-eval — A framework for evaluating language models
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• lmms-eval — A framework for evaluating large multi-modality language models
• LocalCat — Fine-tune Large Language Models locally.
• luna-nlg — Source code for the LUNA project
• mammoth-nlp — Massively Multilingual Modular Open Translation @ Helsinki
• MarkLLM — MarkLLM: An Open-Source Toolkit for LLM Watermarking
• mbr — Minimum Bayes risk decoding for Hugging Face Transformers
• mbrs — A library for minimum Bayes risk (MBR) decoding.
• mlbench-core — A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• ms-opencompass — A lightweight toolkit for evaluating LLMs based on OpenCompass.
• mt-telescope — A visual platform for contrastive evaluation of machine translation systems
• mteval — Library to automate machine translation evaluation
• Multimodal-Keras-Wrapper — Wrapper for Keras with support to easy multimodal data and models loading and handling.
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• narg2p — Non AutoRegressive Grapheme to Phoneme conversion Toolkit
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• neurst — Neural Speech Translation Toolkit
• nmtlab — A simple framework for neural machine translation based on PyTorch
• nmtpytorch — Sequence-to-Sequence Framework in Pytorch
• opencompass — A comprehensive toolkit for large model evaluation
• OpenNMT-py — A python implementation of OpenNMT
• OpenNMT-tf — Neural machine translation and sequence learning using TensorFlow
• paddlespeech — Speech tools and models based on Paddlepaddle
• pangeamt-tea — TEA - Translation Engine Architect
• paraphrase-metrics — Paraphrase Metrics
• pdexplorer — A Stata emulator for Python/pandas
• pgml-extension — Simple machine learning in PostgreSQL.
• prompt2model — A library for distilling models from prompts.
• pureml-llm — no summary
• pytext-nlp — pytorch modeling framework and model zoo for text models
• rag-eval-tool — A comprehensive evaluation toolkit for RAG and LLMs.
• rag-evaluator — A library for evaluating Retrieval-Augmented Generation (RAG) systems
• RAGchain — Build advanced RAG workflows with LLM, compatible with Langchain