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  1. convsharp convsharp Public

    Simple library for creating sequential models of convolutional neural networks. Library is for the solving small problems because is aimed on the readable code and modularity more than performance.

    C# 2

  2. pilsen-ai-meetup pilsen-ai-meetup Public

    Talk aimed at interpretability of machine learning models presented on Pilsen AI and ML meetup.

    Jupyter Notebook 1

  3. bert bert Public

    Forked from google-research/bert

    TensorFlow code and pre-trained models for BERT

    Python

  4. nlp-sentiment-analysis-shallow nlp-sentiment-analysis-shallow Public

    Classification of 3 types of sentiment (negative, neutral and positive) on czech posts from czech film database. Scripts are written in python 3.6 and use shallow methods for classification (Multin…

    Python 1

  5. nlp-lang-models nlp-lang-models Public

    Simple example of language modeling in python 3.6 which contains Zerogram, Unigram and Bigram model finally connected by linear interpolation.

    Python

  6. nlp-hal nlp-hal Public

    Implementation of HAL (Hyperspace Analogue to Language) algorithm with linear weighting and usage idf multiplicator in python 3.6. Czech news feeds are used as input data.

    Python 2 2