policy
HybridAIModel
riaz-khan-16 · PyTorch
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Overview
Name
HybridAIModel
Author
riaz-khan-16
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This section provides the outcomes of using machine learning models to categorize transformers into excellent, good, medium, bad, or extremely poor categories. SVM, Logistic Regression, Decision Tree, and Random Forest classifiers are trained with the dataset for this purpose.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
20anybotics-anymal-cnot in seedalohanot in seedgoogle-barkour-vbnot in seedboston-dynamics-spotnot in seedfranka-fr3not in seedgoogle-barkour-v0not in seedagilex-pipernot in seedberkeley-humanoidnot in seedbitcraze-crazyflie-2not in seedanybotics-anymal-bnot in seedagility-cassienot in seedarx-l5not in seedbooster-t1not in seedfranka-emika-pandanot in seedfranka-fr3-v2not in seeddynamixel-2rnot in seedflexiv-rizon4not in seedassetsnot in seedapptronik-apollonot in seedfourier-n1not in seed
Compatible environments
0No environments list HybridAIModel yet.
Datasets that reference this policy
0No datasets reference HybridAIModel yet.