# Neural Architecture Search
Regnet Y 320
Apache-2.0
RegNet image classification model trained on ImageNet-1k, featuring an efficient network structure designed via neural architecture search
Image Classification
Transformers

R
facebook
29
0
Regnet Y 160
Apache-2.0
RegNet model trained on the ImageNet-1k dataset, an efficient vision model designed through neural architecture search
Image Classification
Transformers

R
facebook
18
0
Regnet Y 080
Apache-2.0
RegNet image classification model trained on ImageNet-1k, designed using neural architecture search technology
Image Classification
Transformers

R
facebook
30
0
Regnet Y 064
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through neural architecture search
Image Classification
Transformers

R
facebook
17
0
Regnet Y 040
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through neural architecture search
Image Classification
R
facebook
2,083
1
Regnet Y 032
Apache-2.0
RegNet image classification model trained on ImageNet-1k, featuring an efficient network structure designed through neural architecture search
Image Classification
Transformers

R
facebook
21
0
Regnet Y 016
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through neural architecture search
Image Classification
Transformers

R
facebook
19
0
Regnet Y 008
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through neural architecture search
Image Classification
Transformers

R
facebook
22
0
Regnet Y 006
Apache-2.0
RegNet is an image classification model designed through neural architecture search, trained on the ImageNet-1k dataset.
Image Classification
Transformers

R
facebook
18
0
Regnet Y 004
Apache-2.0
RegNet is a vision classification model trained on ImageNet-1k, featuring an efficient network structure designed through Neural Architecture Search (NAS)
Image Classification
Transformers

R
facebook
17
0
Regnet X 320
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through neural architecture search
Image Classification
Transformers

R
facebook
31
0
Regnet X 160
Apache-2.0
RegNet image classification model trained on the ImageNet-1k dataset, designed using neural architecture search technology
Image Classification
Transformers

R
facebook
22
0
Regnet X 120
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed via neural architecture search
Image Classification
Transformers

R
facebook
17
0
Regnet X 080
Apache-2.0
RegNet is a vision classification model trained on ImageNet-1k, featuring an efficient network structure designed through neural architecture search
Image Classification
Transformers

R
facebook
20
0
Regnet X 040
Apache-2.0
RegNet model trained on imagenet-1k, an efficient vision model designed via neural architecture search
Image Classification
Transformers

R
facebook
69
1
Regnet X 032
Apache-2.0
RegNet image classification model trained on the ImageNet-1k dataset, featuring an efficient network structure designed via neural architecture search
Image Classification
Transformers

R
facebook
21
0
Regnet X 016
Apache-2.0
RegNet image classification model trained on ImageNet-1k, featuring an efficient network structure designed through neural architecture search
Image Classification
Transformers

R
facebook
19
0
Regnet X 008
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient image classification model designed via neural architecture search
Image Classification
Transformers

R
facebook
18
0
Regnet X 006
Apache-2.0
RegNet model trained on ImageNet-1k, an efficient vision model designed through Neural Architecture Search (NAS)
Image Classification
Transformers

R
facebook
18
0
Regnet X 002
Apache-2.0
RegNet image classification model trained on ImageNet-1k, featuring an efficient network structure designed through neural architecture search
Image Classification
Transformers

R
facebook
60
1
Bort
BORT is a highly compressed version of BERT-large, optimized through neural architecture search technology, achieving up to 10x faster inference speed while outperforming some uncompressed models.
Large Language Model
B
amazon
201
16
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