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MIT-SelefDriving Course 笔记
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1. Difference between ML(Machine Learning) & DL (Deep Learning)
- ML: input -> Feature extractoiin (human beings to do that) -> …
Iranb updated
5 years ago
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Change the custom loader your are using for the Dataset API. Keep the same functionalities like data augmentation.
Change the rest of the code to integrate it.
https://www.tensorflow.org/tutorials/e…
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Tried to update and reinstall but doesn't work.
Roop :
*** Error running install.py for extension /content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions/sd-webui-roop.
*** Command: "/usr/…
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- #701
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The current framework is too much oriented towards Computer Vision problems where there is already lots of available resources. It would be great if you can also focus on multivariate time series wher…
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Here are a few things I found related to the use of the generative models to obtain synthetic medical data.
## Bibliography
- **Synthesis in Multi-Contrast MRI with Conditional Generative Adver…
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1. 如果object bank是单数据集内（train或val）的，在test上提升这么明显，那这个方法确实很有价值。
2. 如果有跨数据集object或者含有test data object（正常来讲不太可能），那应该标明使用了额外的数据（add data），实际价值可能会打折，有点像跨数据集增强的思路。
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**Choose Topics for Presentation**
- [x] Q-learning
- [x] Deep Neural Network
- [x] Artificial General Intelligence
- [x] Artificial Quantum Intelligence
- [x] Cognitive Science
- [ ] Quantum Co…
ErSKS updated
4 years ago
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https://stackoverflow.com/questions/6620471/fitting-empirical-distribution-to-theoretical-ones-with-scipy-python
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The stylegan2 FID on FFHQ reported in the paper (4.41) is significantly worse than the [official evaluation](https://arxiv.org/pdf/2106.12423.pdf) (2.70), is there an explanation for this?