| jasonwei20/eda_nlp |
1,405 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
|
Python |
| Data augmentation for NLP, presented at EMNLP 2019 |
| kakaobrain/fast-autoaugment |
1,358 |
|
0 |
0 |
almost 5 years ago |
0 |
|
22 |
mit |
Python |
| Official Implementation of 'Fast AutoAugment' in PyTorch. |
| JasonLiTW/simple-railway-captcha-solver |
703 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| 實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation) |
| aurora95/Keras-FCN |
606 |
|
0 |
0 |
about 8 years ago |
0 |
|
49 |
mit |
Python |
| Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished） |
| ildoonet/pytorch-randaugment |
557 |
|
0 |
0 |
about 3 years ago |
0 |
|
19 |
mit |
Python |
| Unofficial PyTorch Reimplementation of RandAugment. |
| arcelien/pba |
400 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
apache-2.0 |
Jupyter Notebook |
| Efficient Learning of Augmentation Policy Schedules |
| persistforever/cifar10-tensorflow |
395 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
|
Python |
| cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率 |
| drscotthawley/panotti |
248 |
|
0 |
0 |
over 4 years ago |
0 |
|
16 |
mit |
Python |
| A multi-channel neural network audio classifier using Keras |
| okankop/vidaug |
225 |
|
0 |
0 |
over 4 years ago |
1 |
June 24, 2021 |
4 |
mit |
Python |
| Effective Video Augmentation Techniques for Training Convolutional Neural Networks |
| hwalsuklee/tensorflow-mnist-cnn |
171 |
|
0 |
0 |
over 7 years ago |
0 |
|
7 |
|
Python |
| MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented. |
