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Search: DeepSense
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yscacaca/DeepSense
GitHub PythonDeepsense: a unified deep learning framework for time-series mobile sensing data processing.
External source
GitHub
ITU-AI-ML-in-5G-Challenge/DeepSense6G_TII
GitHub Python MIT LicenseThe repository contains code, report and presentation for the solution of Team TII for ITU AI/ML in 5G Grand Challenge 2022: ML5G-PS-011: Multi Modal Beam Prediction: Towards Generalization
External source
GitHub
wineslab/deepsense-spectrum-sensing-datasets
GitHub MATLAB MIT LicenseDataset for the paper D. Uvaydov, S. DβOro, F. Restuccia and T. Melodia, "DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning," IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, pp. 1-10, doi: 10.1109/INFOCOM42981.2021.9488764.
External source
GitHub
deepsense-ai/ds-template
GitHub Python MIT LicenseTemplate for professional data science and python applications made by deepsense.ai
External source
GitHub
JC1DA/DeepSense
GitHub C++Deep CNN on Android
External source
GitHub
yscacaca/HHAR-Data-Process
GitHub PythonCode for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"
External source
GitHub
magisystem0408/yolov5-DeepSort-RealSenseD435i
GitHub Python GNU General Public License v3.0realsense+yolov5+deepsense D435i
External source
GitHub
anyscale/cross-modal-search-ecommerce-project
GitHub Python Apache License 2.0A project between Anyscale and deepsense.ai implementing a cross-modal search application for e-commerce
External source
GitHub
DPSN-org/deepsense
GitHub Python GNU General Public License v3.0An agentic LLM orchestration framework built on DPSN giving your AI agents a real-time edge. DPSN enables agents to access, stream, and act on live or most recent data for answering user queries, executing tasks, or chaining actions with awareness of up-to-date context.
External source
GitHub
DeepSense6G/DeepSense-papers
GitHubNo description available from source.
External source
GitHub