Post-doc researcher working on low-power embedded systems and machine learning at @EEESlab
Block or Report
Block or report mrusci
Report abuse
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language
Sort by: Recently starred
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …