# README #
BayesOpt.m is a lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.
Please see the documentation in the repository for details.
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning
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2022-06-30
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CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning （217个子文件） 
pleasecite.bib 532B solve_chol.c 2KB changelog 261B Copyright 2KB weight_quant_conv_layer.cpp 12KB weight_quant_inner_product_layer.cpp 8KB matlabprogram.cpp 7KB lbfgsb.cpp 4KB program.cpp 4KB arrayofmatrices.cpp 2KB matlabmatrix.cpp 2KB matlabstring.cpp 1KB matlabscalar.cpp 984B matlabexception.cpp 512B style.css 77B eh_functions.cu 12KB weight_quant_conv_layer.cu 6KB weight_quant_inner_product_layer.cu 4KB result_encoded_resnet50.dat 6.42MB result_encoded_alexnet.dat 4.56MB result_encoded_googlenet_deploy.dat 2.7MB solver_2_4.f 138KB solver_3_0.f 127KB linpack.f 6KB blas.f 6KB timer.f 1KB
f7.gif 30KB f6.gif 28KB f5.gif 19KB f2.gif 15KB f8.gif 14KB f3.gif 14KB f4.gif 13KB f1.gif 5KB program.h 5KB array.h 4KB matlabprogram.h 3KB matlabmatrix.h 2KB arrayofmatrices.h 2KB matlabscalar.h 1KB matlabstring.h 1KB matlabexception.h 869B weight_quant_conv_layer.hpp 3KB weight_quant_inner_product_layer.hpp 2KB eh_functions.hpp 740B
index.html 58KB LICENSE 32KB bayesopt.m 18KB infFITC_EP.m 12KB minimize_v2.m 12KB infFITC_Laplace.m 11KB minimize_v1.m 11KB minimize.m 11KB infKL.m 11KB infMCMC.m 10KB gp.m 9KB likGaussWarp.m 9KB likSech2.m 8KB likMix.m 8KB infLaplace.m 8KB infGrid.m 7KB covGrid.m 7KB likLaplace.m 7KB likLogistic.m 6KB infVB.m 6KB covFunctions.m 6KB infEP.m 6KB infPrior.m 6KB infFITC.m 6KB demoRegression.m 5KB binaryGP.m 5KB likBeta.m 5KB covSM.m 5KB likT.m 5KB demoClassification.m 5KB likInvGauss.m 5KB likGamma.m 4KB likWeibull.m 4KB encode_sparse_quantized_net_v2.m 4KB minimize_lbfgsb.m 4KB likFunctions.m 4KB infLOO.m 4KB likPoisson.m 4KB likGumbel.m 4KB brentmin.m 4KB ws_learn_one_layer.m 4KB usageCov.m 4KB covADD.m 4KB covPeriodicNoDC.m 4KB binaryLaplaceGP.m 4KB covPERard.m 4KB likGauss.m 3KB usagePrior.m 3KB decode_sparse_quantized_net_v2.m 3KB ws_train.m 3KB covPERiso.m 3KB covSEvlen.m 3KB covPPard.m 3KB binaryEPGP.m 3KB covScale.m 3KB共 217 条
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