arpitg1304/tessera
Visualize episode embeddings and select maximally diverse training subsets for robotics ML. Train on 10K diverse episodes instead of 50K random ones.
Tessera helps robotics machine learning engineers curate better training datasets. It visualizes high-dimensional robotics episode data, showing how different training episodes relate to each other. Users upload their episode embeddings and metadata, then interactively select maximally diverse or specifically filtered subsets for training, which can be downloaded as episode IDs.
Use this if you need to select a smaller, more effective subset of robotics training episodes from a large dataset, rather than training on redundant or randomly sampled data.
Not ideal if you're not working with robotics episode data or if you need a general-purpose embedding visualization tool without specific dataset curation features.
Stars
9
Forks
—
Language
TypeScript
License
MIT
Category
Last pushed
Jan 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/arpitg1304/tessera"
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