| off99555/machine-learning-curriculum |
1,065 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| :computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list |
| dBeker/Faster-RCNN-TensorFlow-Python3 |
593 |
|
0 |
0 |
over 2 years ago |
0 |
|
15 |
mit |
Python |
| Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7) |
| Bartzi/see |
506 |
|
0 |
0 |
almost 7 years ago |
0 |
|
46 |
gpl-3.0 |
Python |
| Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition" |
| mitmul/chainer-faster-rcnn |
284 |
|
0 |
0 |
almost 9 years ago |
0 |
|
6 |
mit |
Python |
| Object Detection with Faster R-CNN in Chainer |
| wkentaro/fcn |
211 |
|
12 |
0 |
over 4 years ago |
80 |
October 06, 2021 |
0 |
mit |
Python |
| Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.) |
| soskek/dynamic_routing_between_capsules |
202 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
mit |
Python |
| Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017 |
| DeNA/Chainer_Mask_R-CNN |
145 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
other |
Python |
| Implementation of Mask R-CNN in Chainer |
| mitmul/chainer-cifar10 |
132 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
|
Python |
| Various CNN models for CIFAR10 with Chainer |
| corochann/SeRanet |
79 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
mit |
Python |
| Super Resolution of picture images using deep learning |
| mitmul/chainer-pspnet |
76 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Python |
| PSPNet in Chainer |
