Vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Eda_nlp | 1,405 | a year ago | 9 | Python | ||||||
| Data augmentation for NLP, presented at EMNLP 2019 | ||||||||||
| Fast Autoaugment | 1,358 | 3 years ago | 22 | mit | Python | |||||
| Official Implementation of 'Fast AutoAugment' in PyTorch. | ||||||||||
| Simple Railway Captcha Solver | 703 | a year ago | 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) | ||||||||||
| Keras Fcn | 606 | 6 years ago | 49 | mit | Python | |||||
| Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished） | ||||||||||
| Pytorch Randaugment | 557 | a year ago | 19 | mit | Python | |||||
| Unofficial PyTorch Reimplementation of RandAugment. | ||||||||||
| Pba | 400 | 5 years ago | 9 | apache-2.0 | Jupyter Notebook | |||||
| Efficient Learning of Augmentation Policy Schedules | ||||||||||
| Cifar10 Tensorflow | 395 | 6 years ago | 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 | ||||||||||
| Panotti | 248 | 3 years ago | 16 | mit | Python | |||||
| A multi-channel neural network audio classifier using Keras | ||||||||||
| Vidaug | 225 | 3 years ago | 1 | June 24, 2021 | 4 | mit | Python | |||
| Effective Video Augmentation Techniques for Training Convolutional Neural Networks | ||||||||||
| Tensorflow Mnist Cnn | 171 | 6 years ago | 7 | Python | ||||||
| MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented. | ||||||||||
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