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Max van Dijck's Projects

bioinformatics icon bioinformatics

This project includes datacollection of proteins in the Human Immunodeficiency Virus (HIV) using the ChEMBL database, Exploratory data analysis of this data and creation of regression models to predict IC50 values of proteins.

cat-face-detection icon cat-face-detection

Regression with an EfficientNetB0 for detecting keypoints such as eyes and ears on a cats face.

cityflow icon cityflow

A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

covid-19-sql-eda icon covid-19-sql-eda

This project includes an exploratory data analysis of covid-19 data using SQL and a visualization of the infection percentages of each country with additional continental and global statistics.

dotfiles icon dotfiles

Personal Dotfiles (zsh, nvim, alacritty)

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

frm icon frm

WIP Command line tool for quick columnar format file operations

gym-cityflow icon gym-cityflow

The gym-cityflow environment is a multiagent domain featuring large discrete state and action spaces. An environment can be created from any set of cityflow config files

imagenette icon imagenette

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

lightning-hydra-template icon lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

markdown-badges icon markdown-badges

Badges for your personal developer branding, profile, and projects.

old-portfolio icon old-portfolio

A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.

openmmlab-kaggle icon openmmlab-kaggle

Shell script for cloning and compressing commonly used OpenMMLab repositories for upload to kaggle.

polars icon polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

ray icon ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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