| quark0/darts |
2,775 |
|
0 |
0 |
over 6 years ago |
0 |
|
71 |
apache-2.0 |
Python |
| Differentiable architecture search for convolutional and recurrent networks |
| microsoft/Cream |
1,446 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Python |
| This is a collection of our NAS and Vision Transformer work. |
| kakaobrain/fast-autoaugment |
1,358 |
|
0 |
0 |
almost 5 years ago |
0 |
|
22 |
mit |
Python |
| Official Implementation of 'Fast AutoAugment' in PyTorch. |
| mit-han-lab/amc |
406 |
|
0 |
0 |
over 2 years ago |
0 |
|
18 |
mit |
Python |
| [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices |
| chenxi116/PNASNet.pytorch |
299 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| PyTorch implementation of PNASNet-5 on ImageNet |
| mit-han-lab/haq |
245 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision |
| microsoft/petridishnn |
110 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Python |
| Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search |
| chenxi116/PNASNet.TF |
101 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| TensorFlow implementation of PNASNet-5 on ImageNet |
| mikelzc1990/nsganetv2 |
89 |
|
0 |
0 |
about 4 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| [ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search |
| mingxingtan/efficientnet |
70 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| EfficientNets snapshot |
