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Researching
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Researching

Highlights

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  1. Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

    Jupyter Notebook 1.1k 174

  2. A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

    Python 138 35

  3. A neural network that jointly part-of-speech tags and lemmatizes sentences, boosting accuracy for morphologically-rich languages (Czech, Arabic, etc.)

    Python 27 1

  4. Graph NLU is a natural language understanding tool that leverages the power of graph databases

    Jupyter Notebook 72 28

  5. Puzzle game with clever twists (Unity3d)

    C# 216 44

  6. A Unity3D tutorial project for drawing 2D physics shapes with the cursor

    C# 75 17

11 contributions in the last year

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Contribution activity

January 2021

Hyperparticle has no activity yet for this period.

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