Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Connect multiple AI models easily. Open source, user-friendly UI application to create workflows with different AI models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
The AI Safety Summit 2023 is a major global event that will take place on the 1 and 2 November at Bletchley Park, Buckinghamshire.
A free AI poem generator that generates rhyming poems. Our online AI poem maker can write you a beautiful rhyming poem on any subject.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Live countdowns for global AI conferences & exhibitions in Machine Learning, Computer Vision, Robotics & NLP.
Roadmaps featuring essential concepts, learning methods, and the tools to put them into practice.
Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.
Agentprobe provides machine-learning models, research, training resources, or evaluation tools.
Join the discussion on this paper page.
An Artificial Intelligence Automation Platform.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source implementation of Google Vizier for hyper parameters tuning.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Accord.NET provides machine-learning models, research, training resources, or evaluation tools.
MCP server for Todoist integration enabling natural language task management with Claude.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
A machine learning / bayesian inference assigning attributes to objects.
Practical principles for building controllable LLM applications around deterministic software.