🤗 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.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
A collection of machine learning examples and tutorials.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
🚀 Efficient implementations for emerging model architectures
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
🤗 AutoTrain Advanced
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
The official CLI and Python client for the Hugging Face Hub.
中文 NLP 预处理、解析工具包,准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
Open-source inference server and production cluster for all the models your agent needs.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
📅🇨🇳中国法定节假日数据 自动每日抓取国务院公告
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Synthetic data curation for post-training and structured data extraction
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.
Create, Evaluate, and Connect AI Skills
🦙 Integrating LLMs into structured NLP pipelines
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
Thai natural language processing in Python
Active learning for systematic reviews
Pretrained model hub for Keras 3.
Data and software for building the ACL Anthology.
This repository collects an extensive list of awesome papers about Story Generation / Storytelling, exclusively focusing on the era of Large Language Models (LLMs).
A foundational library for Semantic Hypergraphs
Active Learning for Text Classification in Python
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Not Ai isn’t just about bypassing AI detectors. It puts good writing first, creating clear, honest prose shaped by human writing standards. It’s perfect for college and school projects, LinkedIn/X posts, emails, factual articles, personal essays, social media posts, and technical documentation, especially GitHub READMEs
A collection and analysis of multimodal fake news datasets across languages, domains, platforms, and modalities.