Aquarium Learning
Improve ML models with better datasets
Shyft Score
Directory quality rating
63/100
Quiet
Found in 1 source
Our take
The verdict on Aquarium Learning
AI-generated
Aquarium Learning focuses on dataset improvement for ML teams, a critical but often overlooked aspect of model performance. Their approach can significantly enhance model accuracy and reliability.
Strengths
- Specializes in dataset improvement
- Helps enhance model accuracy
- Targeted at ML teams
Limitations
- Limited to dataset improvement
- No AI agent support
- Pricing unclear
Best for: Engineering teams in mid-to-large enterprises focused on improving ML model performance
Request a demo to evaluate Aquarium Learning for your team.
See how Aquarium Learning fits your stackAbout
What is Aquarium Learning?
We help ML teams improve their models by improving their datasets
Key capabilities
Data quality assessment tools
Automated dataset augmentation
Collaboration features for ML teams
Version control for datasets
Integration with popular ML frameworks
At a glance
Use cases
What you can do with Aquarium Learning
Identifying and mitigating dataset biases
Improving model performance with high-quality data
Collaborating on dataset projects
Ensuring dataset reproducibility
Best for
Machine Learning EngineersData ScientistsAI Research Teams
Pricing
Aquarium Learning pricing
Aquarium Learning starts at $49/mo
Starting at $49/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with Aquarium Learning
Integrations
TensorFlowPyTorchJupyter NotebooksAWS S3Google Cloud StorageSlackGitHubKaggleAzure Machine Learning
FAQs
Frequently asked questions
Common questions about Aquarium Learning and its capabilities
Aquarium Learning pricing starts at $49/mo. Contact Aquarium Learning for enterprise pricing and volume discounts.
Need help automating Aquarium Learning?
Our team can help you integrate Aquarium Learning with your existing tools and build custom automation workflows.
No commitment requiredResponse within 24h
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