1.huggingface / transformers
🤗 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.
Ranked by Attention Score: stars gained over the last 90 complete days
38 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
🤗 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.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
💫 Industrial-strength Natural Language Processing (NLP) in Python
Fast and Accurate ML in 3 Lines of Code
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
An open-source, tool-augmented conversational language model from Fudan University
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
NLTK Source
Open source annotation tool for machine learning practitioners.
Low-code framework for building custom LLMs, neural networks, and other AI models
The official GitHub page for the survey paper "A Survey of Large Language Models".
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Topic Modelling for Humans
TensorFlow code and pre-trained models for BERT
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Mycroft Core, the Mycroft Artificial Intelligence platform.
Pretrained model hub for Keras 3.
An open-source NLP research library, built on PyTorch.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Accelerated deep learning R&D
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
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:hospital: Medical Text Mining and Information Extraction with spaCy
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.