Max van Dijck's repositories
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
pytorch-ignite-template
An extensible Deep Learning template for research and production
openmmlab-kaggle
Shell script for cloning and compressing commonly used OpenMMLab repositories for upload to kaggle.
pytorch-library
Reimplementations of various computer vision papers in pytorch
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
Regression with an EfficientNetB0 for detecting keypoints such as eyes and ears on a cats face.
CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
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
Personal Dotfiles (zsh, nvim, alacritty)
uniswapv2-ABI
ABIs for the Uniswap V2 Protocol in json format
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
frm
WIP Command line tool for quick columnar format file operations
gym_cityflow
Adds CityFlow to Gym
imagenette
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
markdown-badges
Badges for your personal developer branding, profile, and projects.
maxvandijck
Custom Github profile readme
maxvandijck.github.io
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
old-portfolio
A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.
polars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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.