| rasbt/deeplearning-models |
16,142 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| A collection of various deep learning architectures, models, and tips |
| aaron-xichen/pytorch-playground |
2,366 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
mit |
Python |
| Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) |
| zhunzhong07/Random-Erasing |
697 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST |
| taki0112/Densenet-Tensorflow |
471 |
|
0 |
0 |
about 7 years ago |
0 |
|
15 |
mit |
Python |
| Simple Tensorflow implementation of Densenet using Cifar10, MNIST |
| ZhouYanzhao/ORN |
215 |
|
0 |
0 |
almost 4 years ago |
0 |
|
10 |
bsd-3-clause |
Jupyter Notebook |
| Oriented Response Networks, in CVPR 2017 |
| daib13/TwoStageVAE |
160 |
|
0 |
0 |
almost 7 years ago |
0 |
|
7 |
|
Python |
| taki0112/ResNet-Tensorflow |
137 |
|
0 |
0 |
almost 7 years ago |
0 |
|
3 |
mit |
Python |
| Simple Tensorflow implementation of pre-activation ResNet18, 34, 50, 101, 152 |
| drimpossible/GDumb |
87 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures. |
| adambielski/pytorch-gconv-experiments |
66 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
|
Python |
| Experiments with Group Equivariant Convolutions in PyTorch |
| hyperion-ml/hyperion |
61 |
|
0 |
0 |
over 2 years ago |
6 |
March 25, 2022 |
4 |
apache-2.0 |
Python |
| Python toolkit for speech processing |
