shuangnyu Goto Github PK
Name: Shuang
Type: User
Company: Arizona State University
Shuang's Projects
adversarials-in-nlp
beat_noisy_labels
Applied semi-supervision on the noisy-detected data via self-supervised technique: generate randomly rotation in training set and trained a ResNet model to predict both classification labels and rotation labels, and designed the loss function to focus more on self-supervision task for examples detected as noisy, while more on the original classification task for examples detected as clean.
bookrecommender
A recommender system of books using PySpark.
dsga-1008_deep_learning
Courseworks for Deep Learning
dsga-1011_nlp
Courseworks for Natural Language Processing with Representation Learning.
homepage-academic
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