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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).
Abstract: This article investigates the predefined-time synchronization of a group of fuzzy recurrent neural networks (FRNNs) under a leaderless communication topology. An effective control strategy ...
Abstract: In the field of pattern classification, the training of deep learning classifiers is mostly end-to-end learning, and the loss function is the constraint on the final output (posterior ...
Its implementation details can be found via the function generate_pseudo_bags. This predefined function will be directly used and called in the next step, pseudo-bag mixup. move to that repo for a ...
These functions created for use with MemGPT are designed with the Windows operating system in mind. Mostly the os dependency is file-system related and they can be edited to work on linux and Mac ...
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