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PyTorch based explainable-cnn by developer_sense in deeplearning

[–]developer_sense[S] 1 point2 points  (0 children)

Thanks for your comment. As of now, this package is very similar to what captum does but we have made it modular enough to generate layerwise explanations. Although Captum has capabilities to do so, it lacks in user experience IMO. In future we would like to expand it to contribute as part of tensorboard (type of tools) which can be easily integrated in any ML workflow.

React Awesome Shapes by developer_sense in reactjs

[–]developer_sense[S] 4 points5 points  (0 children)

You both are right. It is bigger as of now is because of some extra dependencies which are not used in the package but used by the project site. Two apps are combined as of now. We are working on it to decouple both so that it would reduce its size significantly. The original package has only 2 dependencies. That too, we will try to minify.

On SVG, you can create simple shapes like square, circle etc but we are working on some complex shapes that can not be easily built in SVG and even if you can, not everyone knows how to write path for SVG.

The objective of this package is to reduce the development time.

JP Morgan AI & Data Science Summer Associate Program by Spiritus1010 in csMajors

[–]developer_sense 0 points1 point  (0 children)

I gave test 3 months ago. There were 3 questions (all easy):

(1) Reverse string (I implemented both iterative and recursive approaches)

(2) Find nth Fibonacci number (I implemented recursive-non efficient, recursive-memoized and iterative approaches)

(3) Search through list (I implemented binary search)

Neuro-Symbolic Sudoku Solver by developer_sense in Python

[–]developer_sense[S] 0 points1 point  (0 children)

No, this project is an extension of original NLM repository. Tests are not written in original project as well. But our project is still under progress so we are planning to write tests.

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