Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Wolfram LLM Benchmarking Project provides machine-learning models, research, training resources, or evaluation tools.
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.
YCombinator profile provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
Practical principles for building controllable LLM applications around deterministic software.
A machine learning / bayesian inference assigning attributes to objects.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
MCP server for Todoist integration enabling natural language task management with Claude.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
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.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
Machine learning package built for humans.
An Artificial Intelligence Automation Platform.