| andrewgordonwilson/bayesgan |
1,002 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
other |
Jupyter Notebook |
| Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017) |
| PreferredAI/cornac |
782 |
|
0 |
0 |
about 2 years ago |
39 |
October 03, 2023 |
13 |
apache-2.0 |
Python |
| A Comparative Framework for Multimodal Recommender Systems |
| SKTBrain/awesome-starcraftAI |
579 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
mit |
|
| A curated list of resources dedicated to StarCraft AI. |
| yaringal/DropoutUncertaintyExps |
411 |
|
0 |
0 |
about 4 years ago |
0 |
|
8 |
other |
Python |
| Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning" |
| openai/vime |
299 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Python |
| Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks" |
| KirkHadley/icml2015_papers |
143 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
|
Python |
| Links to ICML 2015 papers available on arxiv |
| luinardi/hypermapper |
142 |
|
0 |
0 |
about 2 years ago |
14 |
January 17, 2024 |
16 |
mit |
C++ |
| Black-box Optimizer based on Bayesian Optimization |
| automl/pybnn |
85 |
|
1 |
2 |
over 5 years ago |
3 |
February 08, 2019 |
4 |
bsd-3-clause |
Jupyter Notebook |
| Bayesian neural network package |
| ziyuw/rembo |
71 |
|
0 |
0 |
over 12 years ago |
0 |
|
2 |
|
Matlab |
| Bayesian optimization in high-dimensions via random embedding. |
| 2prime/Paper-Reading |
64 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
|
| Paper Reading |
