| google/neural-tangents |
2,149 |
|
0 |
1 |
over 2 years ago |
30 |
August 24, 2023 |
61 |
apache-2.0 |
Jupyter Notebook |
| Fast and Easy Infinite Neural Networks in Python |
| lzjqsdd/scikit-learn-doc-cn |
711 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
|
HTML |
| scikit-learn机器学习库中文文档翻译项目 |
| 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. |
| rwth-i6/returnn |
347 |
|
0 |
0 |
about 2 years ago |
1,482 |
December 11, 2023 |
155 |
other |
Python |
| The RWTH extensible training framework for universal recurrent neural networks |
| fukuball/fuku-ml |
278 |
|
2 |
0 |
over 7 years ago |
35 |
May 01, 2017 |
12 |
mit |
Python |
| Simple machine learning library / 簡單易用的機器學習套件 |
| alshedivat/keras-gp |
219 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Keras + Gaussian Processes: Learning scalable deep and recurrent kernels. |
| AdeDZY/K-NRM |
157 |
|
0 |
0 |
over 8 years ago |
0 |
|
12 |
bsd-3-clause |
Python |
| K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling |
| brain-research/nngp |
110 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Deep neural network kernel for Gaussian process |
| 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] |
| KangchengHou/gntk |
63 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of Graph Neural Tangent Kernel (NeurIPS 2019) |
