Would love some feedback! What additional interfaces or functionality would you like to see here?
What about supporting tabular datasets?
Show HN: GUIs for Faster ML Prototyping and Sharing
21–28 of 28 posts
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#22Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#23Just noting that your MNIST demo on https://www.gradio.app/ seems to have a bug. If you create a small zero it is classified as a 9. Or perhaps it is overly sensitive to line width? Drawing large circles counterclockwise with the small pen seems to be misclassified too.
Yeah, the MNIST model seems to have issues. I can get it to make mistakes for all line widths and most digits. Maybe the issue with small digits is that there is no cropping happening and the model was trained on MNIST where all the digits are uniform size.
Actually this is probably a good demo for a ML visualization tool as we were pretty easily able to find these issues. If cropping is the issue, this is also something that a test set might not catch.
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#24Just noting that your MNIST demo on https://www.gradio.app/ seems to have a bug. If you create a small zero it is classified as a 9. Or perhaps it is overly sensitive to line width? Drawing large circles counterclockwise with the small pen seems to be misclassified too.
Yes we're updating this model, you're right its pretty bad...
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#25Just noting that your MNIST demo on https://www.gradio.app/ seems to have a bug. If you create a small zero it is classified as a 9. Or perhaps it is overly sensitive to line width? Drawing large circles counterclockwise with the small pen seems to be misclassified too.
Yeah, the MNIST model seems to have issues. I can get it to make mistakes for all line widths and most digits. Maybe the issue with small digits is that there is no cropping happening and the model was trained on MNIST where all the digits are uniform size. Actually this is probably a good demo for a ML visualization tool as we were pretty easily able to find these issues. If cropping is the issue, this is also somet…
Yup that's a great point! So cool to see the model begin to break with crowd testing
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#26This looks great, another competitor is streamlit. You guys need a data grid.
Most the Internet tutorials, research successes in Deep Learning are in NLP and Computer Vision. But most of the times in an actual setting people will also use a data grid to show results and/or input data.
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#27This looks great, another competitor is streamlit. You guys need a data grid. Most the Internet tutorials, research successes in Deep Learning are in NLP and Computer Vision. But most of the times in an actual setting people will also use a data grid to show results and/or input data.
That's a really great point, we're working on getting a tabular interface up (something like a csv input)
Re: Show HN: GUIs for Faster ML Prototyping and Sharing
#28This looks great, another competitor is streamlit. You guys need a data grid. Most the Internet tutorials, research successes in Deep Learning are in NLP and Computer Vision. But most of the times in an actual setting people will also use a data grid to show results and/or input data.
That's a really great point, we're working on getting a tabular interface up (something like a csv input)
Don’t know if it’s relevant but optional interface to use also existing Jupyter components e.g. qgrid could be a quick workaround to introduce features until native components are developed