You didn't really describe a stack. Which is fine, because academic research usually doesn't really reuse code ;) A proper ML stack is something like: - Data format in X schema - Model trained on Y library/platform -…
You didn't really describe a stack. Which is fine, because academic research usually doesn't really reuse code ;) A proper ML stack is something like: - Data format in X schema - Model trained on Y library/platform -…