nguynking/CS330

Assignment solutions for CS330: Deep Multi-Task and Meta Learning, Fall 2023 - Stanford

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Experimental

This project provides solutions for deep multi-task and meta-learning assignments. It helps graduate-level students understand and implement advanced algorithms that enable AI models to learn new tasks quickly and efficiently by leveraging shared structures across multiple tasks. Users are typically computer science graduate students or researchers in machine learning, and they interact with code, LaTeX reports, and assignment handouts.

No commits in the last 6 months.

Use this if you are a graduate student or researcher looking for practical implementations and theoretical understanding of state-of-the-art multi-task and meta-learning algorithms.

Not ideal if you are looking for a plug-and-play machine learning library for immediate application to real-world business problems without a strong theoretical background.

deep-learning-research meta-learning multi-task-learning artificial-intelligence-education few-shot-learning
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Language

Python

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Last pushed

Mar 30, 2024

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