Agent Framework / shim to use Pydantic with LLMs.
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A Modular Framework for Multi-Modal Tabular Learning.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
A python framework to transform natural language questions to queries in a database query language.
Evaluation framework for your AI Application.
A "machine learning framework to automate text-and voice-based conversations.".
Fast and simple framework for building and running distributed applications.
Robust Bayesian Optimization framework.
SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
Conditioning video frames with Stable Diffusion by @devdef.
DSPy: The framework for programming — not prompting — foundation models.
Python-based inferential statistics, hypothesis testing and regression framework.
SuperAGI - A dev-first open source autonomous AI agent framework.
A neuro-symbolic framework for building applications with LLMs at the core.
Open-source machine learning framework by Google.
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
Uniform deep learning inference framework for mobile, desktop and server.
A fast and lightweight framework for creating decentralized agents with ease.
Reliable agent framework that supports MCP.
Vectara-agentic is a framework for creating AI Assistants and agents using Vectara.
Vision Agent is a library that helps you utilize agent frameworks to generate code to solve your vision task.