Hello, I have a question about the implementation of the sample-level contrastive learning module. As per the paper, the following is the logic to compute sample-level contrastive learning module: It ...

Contribute to Nash6643/A-sample-machine-learning-module-for-python development by creating an account on GitHub.

In contrast to preview works, this paper proposes a new sample-efficient reinforcement learning architecture which introduces a new episodic memory module and incorporates episodic thought into some ...

Welcome to the Steps to Leaps Learning Modules! Through these specifically designed sessions Boilermakers will find resources focused on enhancing and improving their holistic well-being. Steps to ...

The Department of Education (DepEd) maintained creating modules for blended learning a “collective effort” which requires participation from teachers who will be using these in the upcoming school ...

Highlights • An explainable module based on the LSTM framework has been developed specifically for flood prediction. • The module identifies key variables and the optimal time windows through ...

Despite the great success achieved, deep learning technologies usually suffer from data scarcity issues in real-world applications, where existing methods mainly explore sample relationships in a ...