| ysh329/Chinese-UFLDL-Tutorial |
282 |
|
0 |
0 |
about 8 years ago |
0 |
|
11 |
apache-2.0 |
|
| [UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。 |
| cog-imperial/OMLT |
219 |
|
0 |
1 |
over 2 years ago |
7 |
February 08, 2022 |
18 |
other |
Python |
| Represent trained machine learning models as Pyomo optimization formulations |
| ljk628/ML-Systems |
175 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
|
| papers on scalable and efficient machine learning systems |
| zhaw/neural_style |
121 |
|
0 |
0 |
about 9 years ago |
0 |
|
3 |
|
Python |
| neural style transfer with mxnet |
| AdalbertoCq/Deep-Learning-Specialization-Coursera |
92 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| Deep Learning Specialization courses by Andrew Ng, deeplearning.ai |
| 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 |
| dsindex/iclassifier |
40 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
|
Python |
| reference pytorch code for intent classification |
| MrinmoiHossain/Deep-Learning-Specialization-Coursera |
36 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course. |
| eladhoffer/convNet.torch |
19 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Lua |
| Convolutional network training using Torch |
| marijavella/hs-sr-tvtv |
18 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization (ICIP 2021) |
