| htqin/awesome-model-quantization |
1,449 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo. |
| bermanmaxim/LovaszSoftmax |
941 |
|
0 |
0 |
about 7 years ago |
0 |
|
9 |
mit |
Jupyter Notebook |
| Code for the Lovász-Softmax loss (CVPR 2018) |
| oneTaken/awesome_deep_learning_interpretability |
699 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
|
| 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码) |
| lzhbrian/Cool-Fashion-Papers |
512 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Shell |
| 👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating) |
| MarekKowalski/DeepAlignmentNetwork |
452 |
|
0 |
0 |
over 7 years ago |
0 |
|
43 |
mit |
Python |
| A deep neural network for face alignment |
| itailang/SampleNet |
324 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
Python |
| Differentiable Point Cloud Sampling (CVPR 2020 Oral) |
| Yochengliu/Relation-Shape-CNN |
252 |
|
0 |
0 |
about 6 years ago |
0 |
|
12 |
mit |
Python |
| Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist) |
| anson0910/CNN_face_detection |
250 |
|
0 |
0 |
over 8 years ago |
0 |
|
9 |
|
Python |
| Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR |
| orendv/learning_to_sample |
160 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
Python |
| A learned sampling approach for point clouds (CVPR 2019) |
| Evolving-AI-Lab/fooling |
154 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
|
C++ |
| Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper |
