Erland366
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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.
Stable Diffusion web UI
Command-line program to download videos from YouTube.com and other video sites
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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…
The official gpt4free repository | various collection of powerful language models
Interact with your documents using the power of GPT, 100% privately, no data leaks
A natural language interface for computers
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A Gradio web UI for Large Language Models.
Making large AI models cheaper, faster and more accessible
TensorFlow code and pre-trained models for BERT
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Official Code for DragGAN (SIGGRAPH 2023)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
LlamaIndex is a data framework for your LLM applications
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.