AIKavach
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dsgiitr
We need to return deployable binaries to our users with all the functionalities that the users opt for on top of the base classifier. The user could then download these...
Currently, the model input and loading method breaks whenever the loaded model requires some different dependencies or needs to be loaded from model class and weight dicts. We need to...
Since we are already computing a large number of samples in a given neighbourhood, it would be more advantageous to use this for more applications that could be useful for...
Currently, the AIKavach platform can only be deployed on your local device for making it remotely deployable, we need a login system and more changes.
Add multiple options for denoisers with varying computing requirements for different use-cases.
Currently, the pipeline only takes 32x32-sized images only, making it generalizable.