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I am trying to use the new Meta-Dataset in TFDS APIs, and I have hit a critical performance problem.
When I run the sample code to "Train on Meta-Dataset episodes" (with some added lines to record …
jfb54 updated
2 years ago
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I've come up with a list of example readmes. I'll add these in a new section of the website along with a short description of each one and what you can learn from it.
Here are the READMES:
https://g…
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The simplification process is discussed as follows.
1. Align the drawing to the top-left corner, to have minimum values of 0.
2. Uniformly scale the drawing, to have a maximum value of 255.
3. Res…
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Hello, many thanks for this great work jointly done by so many researchers!
I am trying out the RT-X dataset by running the code snippet from the colab tutorial. I successfully installed `tfds-nigh…
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Hi, thanks for your nice work! I had some difficulty in reproducing the CPrompt.
First, the training and test sets are sorted separately in the StanfordCars dataset downloaded from the link provid…
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Hi, Thank you for sharing your code. But why is it that using the pre-training model you provided, without any changes in the code, the test results vary greatly, even up to 10 point fluctuations?May …
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Hello!
Thank you for sharing the implementation. Unfortunately, I ran into a problem while I was following QM9 guide from `README.md`
**Steps taken:**
```
git clone https://github.com/google-r…
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After reading through all the interesting technicalities on what the **facets** is I decided to try it on one of my datasets and realized that I still don't know how to load and view the data? Is ther…
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I am facing memory issue when train the system about 14 classes of images and i need to train the system for 345 classes of the image. Please suggest me something effective.
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I want to start off by giving tremendous props to the Quick Draw team for releasing this data set to the public. I can't wait to start digging in!
I'm wondering if anyone would be able to provide d…