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Low-Power-and-High-Speed-Deep-FPGA-Inference-Engines-for-Weed-Classification
Low-Power-and-High-Speed-Deep-FPGA-Inference-Engines-for-Weed-Classification PublicIEEE Access: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge
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SST-Reproducibility
SST-Reproducibility PublicIOP Semiconductor Science and Technology: Empirical Metal-Oxide RRAM Device Endurance and Retention Model for Deep Learning Simulations
Python 1
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Accelerating-Stochastically-Binarized-Neural-Networks-on-FPGAs-using-OpenCL
Accelerating-Stochastically-Binarized-Neural-Networks-on-FPGAs-using-OpenCL Public2019 IEEE International Midwest Symposium on Circuits and Systems: Accelerating Stochastically Binarized Neural Networks on FPGAs using OpenCL
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TBCAS-Towards-Healthcare-and-Biomedical-Applications
TBCAS-Towards-Healthcare-and-Biomedical-Applications PublicIEEE Transactions on Biomedical Circuits and Systems: Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
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