| NVIDIA/DALI |
4,770 |
|
0 |
4 |
about 2 years ago |
19 |
December 06, 2023 |
209 |
apache-2.0 |
C++ |
| A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. |
| MTG/DeepConvSep |
397 |
|
0 |
0 |
about 6 years ago |
0 |
|
3 |
agpl-3.0 |
Python |
| Deep Convolutional Neural Networks for Musical Source Separation |
| mratsim/Amazon-Forest-Computer-Vision |
364 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks |
| wagamamaz/tensorlayer-tricks |
351 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
|
| How to use TensorLayer |
| mitmul/chainer-cifar10 |
132 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| Various CNN models for CIFAR10 with Chainer |
| devnkong/FLAG |
94 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
mit |
Python |
| Official implementation of our FLAG paper (CVPR2022) |
| amanchadha/coursera-gan-specialization |
93 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai |
| zhao-tong/GAug |
65 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| AAAI'21: Data Augmentation for Graph Neural Networks |
| yell/mnist-challenge |
64 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] |
| 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 |
