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David Stap's Projects

encoder-decoder icon encoder-decoder

Encoder-decoder model with attention (Luong), with two LSTM layers with 500 hidden units on both encoder and decoder side. The vocabulary size on both source (english) and target side (Dutch) is 50000. The model is trained on the train part of the TED dataset (https://wit3.fbk.eu/mt.php?release=2017-01-trnmted), maximum sequence length 50.

ir1 icon ir1

Homeworks for Information Retrieval 1 (MSc Artificial Intelligence)

ml4qs icon ml4qs

Machine Learning for the Quantified Self

models icon models

Models and examples built with TensorFlow

mt-archive icon mt-archive

Project for ACL. Converting all the data from http://www.mt-archive.info into the ACL standard XML format.

mteb icon mteb

MTEB: Massive Text Embedding Benchmark

sat_ml_sudoku icon sat_ml_sudoku

Knowledge Representation project (MSc Artificial Intelligence): use ML to predict statistics of SAT solver

stylegan icon stylegan

StyleGAN - Official TensorFlow Implementation

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