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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A feature-rich command-line audio/video downloader
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
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.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Google AI 2018 BERT pytorch implementation
Web interface for browsing, search and filtering recent arxiv submissions
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
The official implementation of EMNLP 2020, "A Simple and Effective Model for Answering Multi-span Questions".
Source code and dataset for the paper "GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue" (Jun Quan, Deyi Xiong, Bonnie Webber and Changjian Hu. …
sensitive document classification form texual dependency features