HKBU High Performance Machine Learning Lab

HKBU High Performance Machine Learning Lab's repositories

Language:Python135 11 16

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation

Language:PythonApache-2.0102 50

ddl-benchmarks: Benchmarks for Distributed Deep Learning

Language:Python37 70

Language:PythonMIT25 3 2

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

Language:Python12 3 4

Language:Jupyter Notebook11 20

Layer-wise Sparsification of Distributed Deep Learning

Language:Python10 40

EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching

Language:PythonApache-2.07 10

Language:Python3 20

Language:Sass2 10

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

Language:PythonMIT1 10

Benchmarking State-of-the-Art Deep Learning Software Tools

Language:PythonMIT010

Understanding Top-k Sparsification in Distributed Deep Learning

Language:Python010

gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning

Language:PythonApache-2.0020

Source code of paper "Benchmarking Deep Learning Models and Automated Model Design for COVID-19 Detection with Chest CT Scans".

Language:Jupyter Notebook010

Assembler for NVIDIA Volta and Turing GPUs

Language:PythonMIT010