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 30 complete days
31 repositories by Attention Score · Oct 4, 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.
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
An open-source, tool-augmented conversational language model from Fudan University
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.
Fast and Accurate ML in 3 Lines of Code
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
NLTK Source
💬 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
Open source annotation tool for machine learning practitioners.
Low-code framework for building custom LLMs, neural networks, and other AI models
Topic Modelling for Humans
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
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)
TensorFlow code and pre-trained models for BERT
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
An open-source NLP research library, built on PyTorch.
Pretrained model hub for Keras 3.
Mycroft Core, the Mycroft Artificial Intelligence platform.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Accelerated deep learning R&D
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.