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What If Studio / CEO
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Starred repositories
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
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
Robust Speech Recognition via Large-Scale Weak Supervision
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A Gradio web UI for Large Language Models.
High-Resolution Image Synthesis with Latent Diffusion Models
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.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
LlamaIndex is a data framework for your LLM applications
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: …
Streamlit — A faster way to build and share data apps.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Official Code for DragGAN (SIGGRAPH 2023)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A toolkit for developing and comparing reinforcement learning algorithms.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.