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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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Interact with your documents using the power of GPT, 100% privately, no data leaks
A Gradio web UI for Large Language Models with support for multiple inference backends.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Making large AI models cheaper, faster and more accessible
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
The simplest, fastest repository for training/finetuning medium-sized GPTs.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
A high-throughput and memory-efficient inference and serving engine for LLMs
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.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
aider is AI pair programming in your terminal
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Code for the paper "Language Models are Unsupervised Multitask Learners"
☁️ Build multimodal AI applications with cloud-native stack
DSPy: The framework for programming—not prompting—language models
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities