| hila-chefer/Transformer-Explainability |
1,596 |
|
0 |
0 |
about 2 years ago |
0 |
|
9 |
mit |
Jupyter Notebook |
| [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks. |
| PaddlePaddle/Research |
1,550 |
|
0 |
0 |
about 3 years ago |
0 |
|
128 |
apache-2.0 |
Python |
| novel deep learning research works with PaddlePaddle |
| DingKe/nn_playground |
390 |
|
0 |
0 |
over 7 years ago |
0 |
|
11 |
mit |
Python |
| Experimental keras implementation of novel neural network structures |
| andyzeng/arc-robot-vision |
186 |
|
0 |
0 |
almost 8 years ago |
0 |
|
5 |
apache-2.0 |
Lua |
| MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning. |
| shaohua0116/Multiview2Novelview |
163 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
mit |
Python |
| An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim |
| rajewsky-lab/mirdeep2 |
120 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
gpl-3.0 |
Perl |
| Discovering known and novel miRNAs from small RNA sequencing data |
| munhouiani/Deep-Packet |
100 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning |
| ddrrrr/projectRUL |
47 |
|
0 |
0 |
about 5 years ago |
0 |
|
2 |
|
Python |
| to prediction the remain useful life of bearing based on 2012 PHM data |
| ndrplz/semiparametric |
37 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| [TPAMI 2020] Generating Novel Views of Vehicles via Semi-parametric Guidance. A semi-parametric approach for synthesizing novel views of a rigid object from a single monocular image. |
| isaacmg/ai-virus |
33 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
|
| Master list of data and research on applying machine learning to COVID-19 and other viruses |
