AI at Home provides machine-learning models, research, training resources, or evaluation tools.
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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.
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An Artificial Intelligence Automation Platform.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine learning package built for humans.
A framework for performing reproducible AI and ML for Weights and Biases.
Open-source implementation of Google Vizier for hyper parameters tuning.
Advances in Evolutionary Algorithms. Edited by: Witold Kosinski. ISBN 978-953-7619-11-4, PDF ISBN 978-953-51-5796-0, Published 2008-11-01.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Adept AI provides machine-learning models, research, training resources, or evaluation tools.
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.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Ability AI 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.
A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.
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.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.