Controversial_stimuli_tutorial
A PyTorch tutorial on synthesizing controversial stimuli for ImageNet classifiers
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Computer Vision | 354 | 6 years ago | Jupyter Notebook | |||||||
| Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition | ||||||||||
| Lemon | 46 | 7 months ago | 3 | apache-2.0 | Python | |||||
| This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation. | ||||||||||
| Res_nets_tutorial | 15 | 6 years ago | Jupyter Notebook | |||||||
| A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team. | ||||||||||
| Controversial_stimuli_tutorial | 9 | 4 months ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
| A PyTorch tutorial on synthesizing controversial stimuli for ImageNet classifiers | ||||||||||
| Keras Tutorials Lite | 6 | 3 years ago | bsd-3-clause | Jupyter Notebook | ||||||
| Tutorial materials for Keras / TensorFlow based transfer-learning image classification | ||||||||||
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