| 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 |
| 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 |
| tfjgeorge/nngeometry |
174 |
|
0 |
0 |
over 2 years ago |
2 |
February 24, 2021 |
1 |
mit |
Python |
| {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch |
| brain-research/nngp |
110 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Deep neural network kernel for Gaussian process |
| ruosongwang/CNTK |
92 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Convolutional Neural Tangent Kernel |
| squareRoot3/Target-Guided-Conversation |
88 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| cambridge-mlg/convcnp |
76 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Implementation of the Convolutional Conditional Neural Process |
| KangchengHou/gntk |
63 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| Implementation of Graph Neural Tangent Kernel (NeurIPS 2019) |
| ssydasheng/Neural-Kernel-Network |
62 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Python |
| Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326 |
