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  1. XSWEM Public

    A simple and explainable deep learning model for NLP.

    Jupyter Notebook 1

  2. GeneticSWEM Public

    A Simple Word-Embedding-based Model (SWEM) for Genetic Engineering Attribution

    Jupyter Notebook

  3. Contextualised-Image-Classifiers Public

    Mahajan et al. and Yalniz et al. demonstrate the benefit of pre-training on large unlabeled image datasets using user tags as labels for weak-supervision. We take this approach further, considering …

    Python

  4. OpenImagesV5Tools Public

    Tools developed for sampling and downloading subsets of Open Images V5 dataset and joining it with YFCC100M

    Python

  5. KerasSearchCV Public

    Built for the implementation of Keras in Tensorflow. Behaves similarly to GridSearchCV and RandomizedSearchCV in Sci-Kit learn, but allows for progress to be saved between folds and for fitting and…

    Python 1 1

5 contributions in the last year

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Loading A graph representing KieranLitschel's contributions from February 25, 2024 to February 25, 2025. The contributions are 100% commits, 0% issues, 0% pull requests, 0% code review.

Contribution activity

February 2025

1 contribution in private repositories Feb 22
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