| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
about 2 years ago |
2 |
November 13, 2022 |
115 |
other |
Python |
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
| GPflow/GPflow |
1,783 |
|
17 |
19 |
about 2 years ago |
39 |
August 09, 2023 |
149 |
apache-2.0 |
Python |
| Gaussian processes in TensorFlow |
| alshedivat/keras-gp |
219 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Keras + Gaussian Processes: Learning scalable deep and recurrent kernels. |
| nrontsis/PILCO |
213 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| Bayesian Reinforcement Learning in Tensorflow |
| tailhq/DynaML |
198 |
|
0 |
1 |
almost 3 years ago |
2 |
November 21, 2018 |
21 |
apache-2.0 |
Scala |
| Scala Library/REPL for Machine Learning Research |
| gradientinstitute/aboleth |
125 |
|
0 |
0 |
over 7 years ago |
10 |
September 20, 2018 |
11 |
apache-2.0 |
Python |
| A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation |
| maxim5/hyper-engine |
69 |
|
1 |
0 |
over 7 years ago |
2 |
February 10, 2018 |
8 |
apache-2.0 |
Python |
| Python library for Bayesian hyper-parameters optimization |
| kekeblom/DeepCGP |
57 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Deep convolutional gaussian processes. |
| ssydasheng/FBNN |
53 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779) |
| rhaps0dy/convnets-as-gps |
36 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
bsd-2-clause |
Python |
| Code for "Deep Convolutional Networks as shallow Gaussian Processes" |
