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awesome-deep-learning-tools

github.com/lijiaqi/awesome-deep-learning-tools ↗

collections of tools for deep learning experiments, e.g., experiments management,

6

GitHub Stars

34

Curated Resources

4

Categories

1 hour ago

Last Refreshed

0.Reading and Writing1.Basic tools2.For Experiment3. Libs

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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me hyperparameter tuning resources from awesome-deep-learning-tools"

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What's inside

2.For Experiment

adatuneHyperparameter Tuning
AlchemyExperiments management
Experiments logging & visualization
alfredData
apexHigh Level API/Distributed Training
Bayesian OptimizationHyperparameter Tuning
CatalystExperiments management
Accelerated Deep Learning Research and Development

3. Libs

DomainBedDomain Generalization
lightlySelf-Supervised Learning
saladSemi-Supervised Learning && Domain Adaptation
visslSelf-Supervised Learning

0.Reading and Writing

1.Basic tools

Showing a sample of 34 resources. View the full list on GitHub →