Skip to content

GATECH-EIC/NASA

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
adder
adder
 
 
deepshift
deepshift
 
 
fbnet
fbnet
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
alpha_gen.py
alpha_gen.py
 
 
architect.py
architect.py
 
 
autoaugment.py
autoaugment.py
 
 
check.py
check.py
 
 
check_dpws.py
check_dpws.py
 
 
collect_env.py
collect_env.py
 
 
config_search.py
config_search.py
 
 
config_train.py
config_train.py
 
 
cyclicLR.py
cyclicLR.py
 
 
datasets.py
datasets.py
 
 
eval.py
eval.py
 
 
gen_lookup_table.py
gen_lookup_table.py
 
 
genotypes.py
genotypes.py
 
 
get_arch.py
get_arch.py
 
 
lr.py
lr.py
 
 
model_infer.py
model_infer.py
 
 
model_infer_distill.py
model_infer_distill.py
 
 
model_infer_v2.py
model_infer_v2.py
 
 
model_search.py
model_search.py
 
 
model_search_ws.py
model_search_ws.py
 
 
model_search_ws_mix_fix_conv.py
model_search_ws_mix_fix_conv.py
 
 
model_search_ws_mix_pure_add.py
model_search_ws_mix_pure_add.py
 
 
model_search_ws_version2.py
model_search_ws_version2.py
 
 
model_search_ws_version3.py
model_search_ws_version3.py
 
 
operations.py
operations.py
 
 
operations_ws.py
operations_ws.py
 
 
operations_ws_version2.py
operations_ws_version2.py
 
 
operations_ws_version3.py
operations_ws_version3.py
 
 
ops.py
ops.py
 
 
perturb.py
perturb.py
 
 
plot.py
plot.py
 
 
plot_scatter.py
plot_scatter.py
 
 
proxyless_model_search.py
proxyless_model_search.py
 
 
resnet20_add.py
resnet20_add.py
 
 
resnet_add.py
resnet_add.py
 
 
resnet_shiftadd.py
resnet_shiftadd.py
 
 
sample_from_arch.py
sample_from_arch.py
 
 
search.py
search.py
 
 
search.sh
search.sh
 
 
search_one_level.py
search_one_level.py
 
 
spos_search.py
spos_search.py
 
 
test_add.py
test_add.py
 
 
tester.py
tester.py
 
 
train.py
train.py
 
 
train.sh
train.sh
 
 
train_distill.py
train_distill.py
 
 
train_resnet.py
train_resnet.py
 
 
train_resnet20_add.py
train_resnet20_add.py
 
 
train_search.py
train_search.py
 
 
train_shift_distil.py
train_shift_distil.py
 
 
visual_distr.py
visual_distr.py
 
 

Repository files navigation

NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks

License: Apache 2.0

Huihong Shi, Haoran You, Yang Zhao, Zhongfeng Wang, and Yingyan Lin

Accepted by ICCAD 2022. More Info: [ Paper | Slide | Youtube | Github ]

More will be coming soon...

About

[ICCAD 2022] NASA: Neural Architecture Search and Acceleration for Hardware Inspired Hybrid Networks

Resources

Readme
Activity
Custom properties

Stars

9 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages