XinshaoAmosWang/DeepCriticalLearning
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
This project offers robust deep learning methods for practitioners working with noisy or inaccurately labeled datasets. It takes a deep learning model and a dataset, and outputs a more reliable model trained using techniques like Progressive Self Label Correction (ProSelfLC). This helps machine learning engineers and researchers build more accurate models even when data quality is imperfect.
No commits in the last 6 months.
Use this if you are training deep neural networks and suspect your dataset contains mislabeled examples or noise that is hindering your model's performance.
Not ideal if your datasets are perfectly clean and accurately labeled, or if you are not working with deep learning models.
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31
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4
Language
Python
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Last pushed
Dec 23, 2022
Commits (30d)
0
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