| DemisEom/SpecAugment |
411 |
|
0 |
0 |
about 5 years ago |
12 |
May 07, 2019 |
18 |
apache-2.0 |
Python |
| A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain |
| arcelien/pba |
400 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
apache-2.0 |
Jupyter Notebook |
| Efficient Learning of Augmentation Policy Schedules |
| wagamamaz/tensorlayer-tricks |
351 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| How to use TensorLayer |
| DSXiangLi/ChineseNER |
274 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
|
Python |
| 中文NER的那些事儿 |
| vinthony/ghost-free-shadow-removal |
260 |
|
0 |
0 |
over 2 years ago |
0 |
|
13 |
|
Jupyter Notebook |
| [AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN |
| 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. |
| gvtulder/elasticdeform |
141 |
|
8 |
9 |
over 3 years ago |
16 |
May 23, 2024 |
4 |
other |
C |
| Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch). |
| HasnainRaz/SemSegPipeline |
131 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| A simpler way of reading and augmenting image segmentation data into TensorFlow |
| upul/Semantic_Segmentation |
61 |
|
0 |
0 |
about 7 years ago |
0 |
|
4 |
mit |
Python |
| Semantic Segmentation using Fully Convolutional Neural Network. |
| AlexanderVNikitin/tsgm |
60 |
|
0 |
0 |
over 2 years ago |
3 |
September 28, 2023 |
9 |
apache-2.0 |
Python |
| Generative modeling of synthetic time series data and time series augmentations |
