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Awesome List
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
GitHub stars and default-branch commits for keon/awesome-nlp.
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a high-performance serving framework for large language models and multimodal models.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Supercharge Your LLM Application Evaluations 🚀
Retrieval and Retrieval-augmented LLMs
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
State of the Art Natural Language Processing
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Underthesea - AI Assistant
Data and tools for generating and inspecting OLMo pre-training data.
LongBench v2 and LongBench (ACL 25'&24')
PhoGPT: Generative Pre-training for Vietnamese (2023)
Deliver safe & effective language models
An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!
Latxa: An Open Language Model and Evaluation Suite for Basque
Tiny QA Benchmark++ a micro-benchmark suite (52-item gold + on-demand multilingual synthetic packs), generator CLI, and CI-ready eval harness for ultra-fast LLM smoke-testing & regression-catching.