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  1. ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

    Jupyter Notebook 29 4

  2. Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

    Jupyter Notebook 397 120

  3. HapMuC: Somatic Mutation Calling Using Heterozygous Germ Line Variants Near Candidate Mutations (Bioinformatics)

    C++ 11 1

  4. A Deep Learning talk+tutorial for medical image processing

    Jupyter Notebook 68 26

  5. System-wide Emacs-like/Mac-like key-bindings on Windows 10 using AutoHotKey

    AutoHotkey 9 2

  6. End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

    Jupyter Notebook 323 97

292 contributions in the last year

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Contribution activity

November 1, 2020

usuyama has no activity yet for this period.

October 2020

Created an issue in jeniyat/StackOverflowNER that received 3 comments

BERT pretraining details

Thanks for sharing your great work. Some quick questions about the BERT pretraining: What is the max_seq_length (e.g. 128 tokens) during pretraining?

3 comments
48 contributions in private repositories Oct 1 – Oct 29
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