| 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 |
| GPflow/GPflow |
1,783 |
|
17 |
19 |
about 2 years ago |
39 |
August 09, 2023 |
149 |
apache-2.0 |
Python |
| Gaussian processes in TensorFlow |
| JuliaGaussianProcesses/KernelFunctions.jl |
260 |
|
0 |
0 |
over 2 years ago |
0 |
|
112 |
mit |
Julia |
| Julia package for kernel functions for machine learning |
| alshedivat/keras-gp |
219 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Keras + Gaussian Processes: Learning scalable deep and recurrent kernels. |
| ohirose/bcpd |
218 |
|
0 |
0 |
about 3 years ago |
0 |
|
9 |
mit |
C |
| Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++) |
| wesselb/stheno |
207 |
|
0 |
4 |
about 2 years ago |
38 |
October 22, 2022 |
4 |
mit |
Python |
| Gaussian process modelling in Python |
| BayesWatch/deep-kernel-transfer |
142 |
|
0 |
0 |
about 4 years ago |
0 |
|
6 |
|
Python |
| Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020) |
| duvenaud/phd-thesis |
122 |
|
0 |
0 |
almost 12 years ago |
0 |
|
0 |
|
TeX |
| I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth |
| 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] |
| 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 |
