f3c77b1750
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads. - Added a comprehensive training utility for the model, including loss functions and training steps. - Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
258 lines
8.8 KiB
Plaintext
258 lines
8.8 KiB
Plaintext
{
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"--access-token",
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"${env:SUPABASE_ACCESS_TOKEN}"
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],
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"list_tables",
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"execute_sql",
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"get_organization",
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"get_project",
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"generate_typescript_types",
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