Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
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.
Practical principles for building controllable LLM applications around deterministic software.
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.
Open-source implementation of Google Vizier for hyper parameters tuning.
A framework for performing reproducible AI and ML for Weights and Biases.
An Artificial Intelligence Automation Platform.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Easy way to turn any app into searchable data for LLMs.
Open-source Python library enabling ML model inspection and interpretation.
An open source Python library focused on outlier, adversarial and drift detection.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instruct-tune LLaMA on consumer hardware.
Ambrosia helps you clean up your LLM datasets using other LLMs.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.