Tags: #nlp

A comprehensive library providing state-of-the-art pre-trained models for various machine learning tasks across text, vision, audio, and multimodal domains, facilitating both inference and training.

An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows, powered by an embeddings database.

An industrial-strength Python library for advanced Natural Language Processing, offering state-of-the-art models and a production-ready training system.

A modular graph-based Retrieval-Augmented Generation (RAG) system designed to extract structured data from unstructured text using LLMs to enhance reasoning on private data.

Argilla is an open-source collaboration tool for AI engineers and domain experts to build and manage high-quality datasets for various AI models, leveraging human feedback and programmatic workflows.

A repository showcasing various advanced Retrieval-Augmented Generation (RAG) techniques through detailed notebook tutorials.

A Python library leveraging LLMs to extract structured information from unstructured text with precise source grounding and interactive visualization.

A lightweight library providing one-line dataloaders and efficient pre-processing tools for a vast hub of AI datasets, supporting various ML frameworks.

A comprehensive repository offering practical implementations and evaluation guidance for advanced and agentic Retrieval-Augmented Generation (RAG) techniques.

A specialized hub providing models, datasets, and fine-tuning techniques to enhance Large Language Models' performance in Text-to-SQL, Text-to-NLU, and Text-to-GQL tasks.

A deep learning toolkit for training custom multimodal large language models focused on speech, language, audio, and music processing.

A comprehensive code repository accompanying a hands-on course for mastering Huggingface Transformers, covering fundamental concepts to advanced fine-tuning and deployment techniques.

A cost-effective solution for finetuning ChatGLM-6B with LoRA, enabling personalized large language models.

A unified library extending HuggingFace Transformers for parameter-efficient and modular transfer learning in NLP.

A Python library for structured NLP tasks using LLMs, offering Pydantic outputs, multi-provider support, and built-in evaluation.

MTEB is a comprehensive benchmark and evaluation framework designed to assess the performance of text embedding models and retrieval systems across a wide range of tasks.

An open-source PyTorch-based framework for NLP pre-training and fine-tuning, offering modularity, reproducibility, and a comprehensive model zoo for various downstream tasks.

A toolkit for finetuning ChatGLM series models (ChatGLM-6B, ChatGLM2-6B, ChatGLM3-6B) using various methods like Freeze, Lora, P-tuning, and full parameter training for downstream NLP tasks.

A comprehensive curated list of resources, papers, datasets, and projects related to text-to-image generation and manipulation.

A comprehensive research hub for large-scale self-supervised pre-training of foundation models across diverse tasks, languages, and modalities.

A family of powerful multi-modal large language models (MLLMs) designed to advance AI's understanding and generation capabilities across various data types.

A pioneering open-source multimodal large language model family aiming to match or exceed commercial models like GPT-4o/GPT-5 in performance.

FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction and LLM-powered planning.

Fengshenbang-LM is an open-source large model system by IDEA Research Institute, serving as infrastructure for Chinese AIGC and cognitive intelligence.