| facebookresearch/qmnist |
227 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
other |
Python |
| The QMNIST dataset |
| dlsys-course/assignment2-2018 |
111 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| (Spring 2018) Assignment 2: Graph Executor with TVM |
| TrustAI/DeepConcolic |
85 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
bsd-3-clause |
Python |
| Concolic Testing for Deep Neural Networks |
| shinseung428/CapsNet_Tensorflow |
70 |
|
0 |
0 |
about 8 years ago |
0 |
|
3 |
mit |
Python |
| dlsys-course/assignment2-2017 |
59 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Python |
| (Spring 2017) Assignment 2: GPU Executor |
| hwalsuklee/how-far-can-we-go-with-MNIST |
59 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
|
| A collection of codes for 'how far can we go with MNIST' challenge |
| coinse/sadl |
30 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
mit |
Python |
| Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy" |
| golbin/TensorFlow-MNIST |
25 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| MNIST with TensorFlow |
| Arlen0615/Convert-own-data-to-MNIST-format |
23 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
Python |
| This project is convert own data to MNIST format. It may help you to quickly test new DL model without modify too much code. |
| HyTruongSon/Neural-Network-MNIST-CPP |
18 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
C++ |
| Neural Network implementation in C++ running for MNIST database. |
