| ddbourgin/numpy-ml |
14,162 |
|
0 |
0 |
over 2 years ago |
3 |
June 20, 2020 |
35 |
gpl-3.0 |
Python |
| Machine learning, in numpy |
| danielegrattarola/spektral |
2,317 |
|
0 |
6 |
about 2 years ago |
34 |
June 01, 2023 |
67 |
mit |
Python |
| Graph Neural Networks with Keras and Tensorflow 2. |
| torch/nn |
1,239 |
|
0 |
0 |
over 7 years ago |
0 |
|
172 |
other |
Lua |
| reiinakano/arbitrary-image-stylization-tfjs |
1,071 |
|
0 |
0 |
over 3 years ago |
0 |
|
21 |
apache-2.0 |
JavaScript |
| Arbitrary style transfer using TensorFlow.js |
| ahmedfgad/NumPyCNN |
531 |
|
0 |
0 |
almost 3 years ago |
3 |
May 24, 2018 |
1 |
|
Python |
| Building Convolutional Neural Networks From Scratch using NumPy |
| andravin/wincnn |
423 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Winograd minimal convolution algorithm generator for convolutional neural networks. |
| fkodom/fft-conv-pytorch |
383 |
|
0 |
0 |
over 2 years ago |
8 |
September 28, 2023 |
4 |
mit |
Python |
| Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes. |
| cbovar/ConvNetSharp |
362 |
|
5 |
4 |
about 6 years ago |
20 |
February 12, 2020 |
19 |
mit |
C# |
| Deep Learning in C# |
| jaxony/ShuffleNet |
251 |
|
0 |
0 |
over 8 years ago |
0 |
|
6 |
mit |
Python |
| ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083 |
| brohrer/sharpened-cosine-similarity |
212 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| An alternative to convolution in neural networks |
