mickvanhulst
Staff Applied Scientist (TomTom). Former guest researcher (Data Science) @radbouduniversity.
TomTomAmsterdam
Pinned Repositories
REL
REL: Radboud Entity Linker
CNN_Twitter_Bitcoin_Prediction
Prediction Bitcoin Price Fluctuations based on users their keyword usage in Tweets.
dsMovieRec
Data science movie recommendation.
learning_to_rank_medical_documents
Our learning to rank project for the IR 2018 course using pointwise logistic regression and pairwise RankSVM to rerank medical documents
long-short-term-dependencies-recommender-systems
Using Differentiable Neural Computers and user-based GRUs for sequential recommendation.
neurosmash
Playing a simplified SmashBros environment with World Models.
q_learning
tf_chatbot_lotr
Lord of the rings sentence generator using TensorFlow
travSalesman
Contains an algorithm for the 'traveling salesman' problem
world_models
World models implementation for Space Invaders for the Natural Computing course at the Radboud University.
mickvanhulst's Repositories
mickvanhulst/tf_chatbot_lotr
Lord of the rings sentence generator using TensorFlow
mickvanhulst/q_learning
mickvanhulst/travSalesman
Contains an algorithm for the 'traveling salesman' problem
mickvanhulst/dsMovieRec
Data science movie recommendation.
mickvanhulst/awesome-leading-and-managing
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
mickvanhulst/CNN_Twitter_Bitcoin_Prediction
Prediction Bitcoin Price Fluctuations based on users their keyword usage in Tweets.
mickvanhulst/Computational-Cognitive-Neuroscience
This is the repository for the course Computational Cognitive Neuroscience. This course is given at the Radboud University.
mickvanhulst/dm_id3_dt_project
Decision tree project for data mining Yoeri van Bruchem and Mick van Hulst (RU)
mickvanhulst/pokemon_classifier
Pokemon type classifier using Gaussian Naive Bayes & KNN
mickvanhulst/universe-test
Testing the Universe bot
mickvanhulst/imaterialist_kaggle
mickvanhulst/learning_to_rank_medical_documents
Our learning to rank project for the IR 2018 course using pointwise logistic regression and pairwise RankSVM to rerank medical documents
mickvanhulst/long-short-term-dependencies-recommender-systems
Using Differentiable Neural Computers and user-based GRUs for sequential recommendation.
mickvanhulst/neurosmash
Playing a simplified SmashBros environment with World Models.
mickvanhulst/world_models
World models implementation for Space Invaders for the Natural Computing course at the Radboud University.
mickvanhulst/dotfiles-win
:see_no_evil: oh-my-zsh on bash on windows configuration files
mickvanhulst/embeddings
Fast, DB Backed pretrained word embeddings for natural language processing.
mickvanhulst/end2end_neural_el
mickvanhulst/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
mickvanhulst/flask-react-router
Simple example, Flask with react-router.
mickvanhulst/GAE-Flask-React-skeleton
Google App Engine-Flask-React-Webpack-Babel skeleton
mickvanhulst/livelossplot
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
mickvanhulst/plantcv
Plant image analysis using OpenCV
mickvanhulst/RELdb
Package that handles the database-related tasks for the REL package.
mickvanhulst/simple_linear_regression