My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
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Updated
Mar 24, 2023 - Jupyter Notebook
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet
ProtoNet for Few-Shot Learning in TensorFlow2 and Applications
Implementation of Meta Learning Methods via PyTorch (without any other frameworks)
A new model called Two-Stage Prototypical Networks for few-shot learning. The model benefits of a Vision Transformer (ViT) and prototyping.
Meta-learning framework for edge computing | Efficient MAML implementation on edge devices
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