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🤗 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.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Learn how to develop, deploy and iterate on production-grade ML applications.

💫 Industrial-strength Natural Language Processing (NLP) in Python

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

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

Topic Modelling for Humans

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Style and Grammar Checker for 25+ Languages

NLTK Source

A very simple framework for state-of-the-art Natural Language Processing (NLP)

The official GitHub page for the survey paper "A Survey of Large Language Models".

Low-code framework for building custom LLMs, neural networks, and other AI models

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Open source annotation tool for machine learning practitioners.

Fast and Accurate ML in 3 Lines of Code

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

【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。

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣