| microsoft/MMdnn |
5,767 |
|
3 |
0 |
over 2 years ago |
10 |
July 24, 2020 |
333 |
mit |
Python |
| MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. |
| PaddlePaddle/VisualDL |
4,652 |
|
0 |
4 |
over 2 years ago |
42 |
August 23, 2021 |
143 |
apache-2.0 |
HTML |
| Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ） |
| yosinski/deep-visualization-toolbox |
3,502 |
|
0 |
0 |
over 6 years ago |
0 |
|
93 |
mit |
Python |
| DeepVis Toolbox |
| Cloud-CV/Fabrik |
1,062 |
|
0 |
0 |
over 5 years ago |
0 |
|
69 |
gpl-3.0 |
Python |
| :factory: Collaboratively build, visualize, and design neural nets in browser |
| ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network |
1,017 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
|
|
| Tools to Design or Visualize Architecture of Neural Network |
| Evolving-AI-Lab/synthesizing |
470 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
mit |
Python |
| Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks" |
| auduno/deepdraw |
319 |
|
0 |
0 |
almost 10 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| Notebook example of how to generate class visualizations with Caffe |
| leelabcnbc/cnnvis-pytorch |
154 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| visualization of CNN in PyTorch |
| aimerykong/Low-Rank-Bilinear-Pooling |
143 |
|
0 |
0 |
over 8 years ago |
0 |
|
7 |
|
C++ |
| Fine-grained classification via second order statistics in a compact end-to-end trainable model |
| endernewton/c2board |
32 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| Tensorboard for Caffe2 |
