| spragunr/deep_q_rl |
1,030 |
|
0 |
0 |
about 9 years ago |
0 |
|
17 |
bsd-3-clause |
Python |
| Theano-based implementation of Deep Q-learning |
| openai/weightnorm |
341 |
|
0 |
0 |
over 7 years ago |
0 |
|
12 |
mit |
Python |
| Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks" |
| FredericGodin/DynamicCNN |
145 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| Dynamic Convolutional Neural Networks for Theano/Lasagne |
| npow/ubottu |
124 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Python |
| Next Utterance Classification |
| lukasruff/Deep-SVDD |
116 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
mit |
Python |
| Repository for the Deep One-Class Classification ICML 2018 paper |
| gyglim/video2gif_code |
77 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
other |
Jupyter Notebook |
| Video2GIF neural network model from our paper at CVPR2016 |
| joelmoniz/gogh-figure |
45 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
agpl-3.0 |
Python |
| Fast, Lightweight Style Transfer using Deep Learning |
| yassersouri/ghiaseddin |
36 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016) |
| ShibiHe/Q-Optimality-Tightening |
34 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
mit |
Python |
| This is my implementation of the Optimality Tightening |
| gngdb/variational-dropout |
29 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne. |
