| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
about 2 years ago |
2 |
November 13, 2022 |
115 |
other |
Python |
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
| GPflow/GPflow |
1,783 |
|
17 |
19 |
about 2 years ago |
39 |
August 09, 2023 |
149 |
apache-2.0 |
Python |
| Gaussian processes in TensorFlow |
| ML-course/master |
554 |
|
0 |
0 |
about 3 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| A machine learning course using Python, Jupyter Notebooks, and OpenML |
| 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 |
| alshedivat/keras-gp |
219 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Keras + Gaussian Processes: Learning scalable deep and recurrent kernels. |
| izmailovpavel/understandingbdl |
174 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| 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) |
| robi56/Survival-Analysis-using-Deep-Learning |
138 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
|
| This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis |
| 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 |
| gabrieltseng/pycrop-yield-prediction |
80 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
mit |
Python |
| A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction |
