| golsun/DialogRPT |
325 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
mit |
Python |
| EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data" |
| akshitac8/tfvaegan |
62 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL |
| mukulkhanna/FHDR |
59 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
bsd-3-clause |
Python |
| PyTorch Implementation of Global SIP 2019 Paper "FHDR: HDR Image Reconstruction from a SingleLDR Image using Feedback Network" |
| INCHEON-CHO/Dynamic_Model_Pruning_with_Feedback |
24 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
Python |
| Implement of Dynamic Model Pruning with Feedback with pytorch |
| L0SG/feedback-alignment-pytorch |
23 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
Python |
| Implementation of feedback alignment learning in PyTorch |
| ChFrenkel/DirectRandomTargetProjection |
20 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP). |
| ilya-shenbin/RecVAE |
20 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback" |
| LiMeng95/pytorch_feedback-network |
15 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| This is a pytorch implementation of Feedback-Network (CVPR 2017, Zamir et al.) |
| hehaodele/GatedFeedback-LSTM.pytorch |
11 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| A Straightforward Pytorch Implementation of Gated Feedback RNNs |
| akshitac8/Handwriting_Generation |
8 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Handwriting Generation using recurrent neural network in Pytorch |
