| hse-aml/bayesian-methods-for-ml |
99 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Materials for "Bayesian Methods for Machine Learning" Coursera MOOC |
| BGU-CS-VIL/BASS |
65 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
C++ |
| Bayesian Adaptive Superpixel Segmentation (ICCV 2019) |
| marius311/CMBLensing.jl |
50 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
other |
Julia |
| The automatically differentiable and GPU-compatible toolkit for CMB analysis. |
| blueberry/doing-bayesian-data-analysis-gpu-opencl |
19 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
epl-2.0 |
Clojure |
| Doing Bayesian Data Analysis book examples with Bayadera (Clojure + GPU) |
| neuronets/kwyk |
16 |
|
0 |
0 |
over 3 years ago |
1 |
June 25, 2021 |
9 |
apache-2.0 |
Python |
| Knowing what you know - Bayesian brain parcellation |
| yxlin/ggdmc |
15 |
|
0 |
0 |
almost 3 years ago |
8 |
April 29, 2019 |
0 |
|
C++ |
| Bayesian Cognitive Modelling |
| tgcsaba/GPSig |
14 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances |
