| lijx10/SO-Net |
296 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018 |
| ardamavi/Dog-Cat-Classifier |
95 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| Dog and cat image classifier with deep learning |
| Yochengliu/DensePoint |
80 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Python |
| DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019) |
| decurtoydiaz/learning_with_signatures |
54 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
HTML |
| Learning with Signatures |
| hussein073/Hair_Style_Recommendation |
31 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
mit |
Jupyter Notebook |
| A recommendation system to identify the user’s face shape and recommends the most flattering hair style. |
| florianbeyer/RandomForest-Classification |
25 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
gpl-3.0 |
Jupyter Notebook |
| Classifying remote sensing data with random forest |
| liuxinhai/Point2Sequence |
22 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
other |
Python |
| Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network |
| sw-gong/MoNet |
22 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17) |
| bcol23/HyperIM |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Python |
| PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification" |
| xaviergoby/ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT |
12 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Python |
| Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing |
