Name: Bauke Brenninkmeijer
Type: User
Company: ING
Bio: Deep learning practitioner🧠/data scientist📈 at Sytac, currently working for ING. Deep Learning, Machine learning, NLP, Bots, APIs, BI, Data Viz, etc.
Location: Amsterdam
Blog: https://www.baukebrenninkmeijer.nl/
Bauke Brenninkmeijer's Projects
Advent of Code 2023
An implementation to classify products in 5 levels of hierarchical labels for the hospitality industry in Keras.
This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.
These are the files from a presentation I gave in ABN Amro on machine learning, tailored to experienced Python developers.
Data used for projects
A deep-dive into NLP encoders. Their differences, similarities and advantages.
This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.
Two genetic algorithms for reproducing an image. One uses polygons and one pixels.
This bot, commonly referred to as Henry, has many capabilities. Most significant, the option to add triggers to which Henry will respond to whatever trigger words you supply him with.
A fully automated Instagram bot that scrapes users and posts, follows users automatically and posts automatically. Additionally, it also has a telegram bot interface to control it.
Our submission for the Kaggle challenge of NOAA Fisheries Steller Sea Lion Population Count, where the goal was to count the number of sea lions in overhead photos.
Telegram chatbot for the Computational Cognitive Modeling of Language and Web Interaction course from the Radboud University
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
Contents of a pandas talk that I gave. Covers overview, comparison with numpy and shows examples of pandas advantages.
My personal blog about topics I find interesting in machine learning, deep learning and AI.
My submission for the PyData Amsterdam 2020 challenge: Optimize a vector given noisy loss of an unknown function
Fitbit API Python Client Implementation
A Collection of Variational Autoencoders (VAE) in PyTorch.
Just some messing around with reinforcement learning in the OpenAI Gym.