| thu-ml/zhusuan |
2,139 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow |
| nrontsis/PILCO |
213 |
|
0 |
0 |
about 5 years ago |
0 |
|
12 |
mit |
Python |
| Bayesian Reinforcement Learning in Tensorflow |
| secondmind-labs/trieste |
196 |
|
0 |
1 |
about 2 years ago |
30 |
December 19, 2023 |
60 |
apache-2.0 |
Python |
| A Bayesian optimization toolbox built on TensorFlow |
| 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 |
| brendanhasz/probflow |
108 |
|
0 |
0 |
almost 5 years ago |
12 |
December 28, 2020 |
16 |
mit |
Python |
| A Python package for building Bayesian models with TensorFlow or PyTorch |
| ChakriCherukuri/mlviz |
97 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Visualizations of machine learning models and algorithms |
| zlxy9892/ml_code |
94 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| A repository for recording the machine learning code |
| 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 |
| 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) |
| shibuiwilliam/keras_gpyopt |
51 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model. |
