Independent publisher
Jimin Lee
easyminnn
3D & Multimodal
Compare the published evidence
This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Robotics.
Reported licenses: other. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
Work-in-progress checkpoints of the UTT sensor-agnostic tactile encoder/decoder, published during training cosmosframework/model/generator/tokenizers/utt/. - /index.json: uploaded steps with val/loss, lateststep, beststep (lowest val/loss). - /stepXXXXXXX/model.pt: model weights only (fp32, no optimizer) + UTTConfig + val metrics. - /stepXXXXXXX/metrics.json: validation metrics at that step. Stages: s0a = Sparsh-DINO image stem frozen; s0b = stem fine-tuned (0.1x LR), initialized from s0a. Training data: easyminnn/utt-tactile-prepared v0 pretrain split. Several source datasets carry non-commercial / research-only licenses (see each SOURCE.md there); use these weights accordingly.