| krasserm/bayesian-machine-learning |
1,587 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
apache-2.0 |
Jupyter Notebook |
| Notebooks about Bayesian methods for machine learning |
| hoangcuong2011/Good-Papers |
231 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
|
| I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers |
| ericmjl/flu-sequence-predictor |
34 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
bsd-3-clause |
Jupyter Notebook |
| An experimental deep learning & genotype network-based system for predicting new influenza protein sequences. |
| ibarrond/VariationalAutoencoders |
17 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering. |
| wyu-du/GP-VAE |
9 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022) |
| rogertrullo/Bayesian-Methods-for-Machine-Learning |
8 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Bayesian Methods for Machine Learning |
| eugene/prot-bo-0 |
8 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| :pill: Guiding directed protein evolution with Bayesian Optimization :pill: |
| ttgump/spaVAE |
5 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Dependency-aware deep generative models for multitasking analysis of spatial genomics data |
