| bearpaw/pytorch-classification |
1,244 |
|
0 |
0 |
about 5 years ago |
0 |
|
30 |
mit |
Python |
| Classification with PyTorch. |
| wvangansbeke/Unsupervised-Classification |
1,217 |
|
0 |
0 |
over 2 years ago |
0 |
|
18 |
other |
Python |
| SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020] |
| yoshitomo-matsubara/torchdistill |
1,171 |
|
0 |
2 |
about 2 years ago |
24 |
November 06, 2023 |
0 |
mit |
Python |
| A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark. |
| Hyperparticle/one-pixel-attack-keras |
1,078 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet |
| hysts/pytorch_image_classification |
979 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Python |
| PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet |
| alvinwan/neural-backed-decision-trees |
445 |
|
0 |
0 |
almost 5 years ago |
0 |
|
8 |
mit |
Python |
| Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet |
| stanford-futuredata/dawn-bench-entries |
235 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
|
Python |
| DAWNBench: An End-to-End Deep Learning Benchmark and Competition |
| dyhan0920/PyramidNet-PyTorch |
215 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915) |
| leaderj1001/MobileNetV3-Pytorch |
197 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Python |
| Implementing Searching for MobileNetV3 paper using Pytorch |
| xilaili/AOGNet |
130 |
|
0 |
0 |
almost 7 years ago |
1 |
January 10, 2019 |
5 |
mit |
Python |
| Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition" |
