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An opinionated list of awesome Python frameworks, libraries, software and resources.
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.
Magnificent app which corrects your previous console command.
Robust Speech Recognition via Large-Scale Weak Supervision
A curated list of awesome Machine Learning frameworks, libraries and software.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A natural language interface for computers
Interact with your documents using the power of GPT, 100% privately, no data leaks
Scrapy, a fast high-level web crawling & scraping framework for Python.
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
A Gradio web UI for Large Language Models with support for multiple inference backends.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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.
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: …
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Investment Research for Everyone, Everywhere.
A generative speech model for daily dialogue.
A high-throughput and memory-efficient inference and serving engine for LLMs