Statistics for topic nlp
RepositoryStats tracks 623,871 Github repositories, of these 2,501 are tagged with the nlp topic. The most common primary language for repositories using this topic is Python (1,392). Other languages include: Jupyter Notebook (371), JavaScript (95), Java (48), HTML (47), TypeScript (43), C++ (37), Rust (31), Go (26), R (13)
Stargazers over time for topic nlp
Most starred repositories for topic nlp (view more)
Trending repositories for topic nlp (view more)
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
LettuceDetect is a hallucination detection framework for RAG applications.
📜 Paper list on decoding methods for LLMs and LVLMs
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
LettuceDetect is a hallucination detection framework for RAG applications.
AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.
📜 Paper list on decoding methods for LLMs and LVLMs
An up-to-date curated list of Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs).
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techni...
LettuceDetect is a hallucination detection framework for RAG applications.
AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...
AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.
Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, Russian, Belarusian and Yoruba.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
Large Concept Models: Language modeling in a sentence representation space
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
500 AI Machine learning Deep learning Computer vision NLP Projects with code
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Large Concept Models: Language modeling in a sentence representation space
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!