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Hi there 👋

I'm currently a deep learning engineer for Thirona, a medical imaging startup. I'm also:

  • Working on a distributed transformer learning system in NumPy using MPI - the megatron-ML implementation is almost done.
  • Currently learning rust 🦀

Laurens Weitkamp's Projects

feudalnets-pytorch icon feudalnets-pytorch

PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.

gans-jax icon gans-jax

Implementation of several Generative Adversarial Networks in JAX / Flax

numpitron icon numpitron

Simplistic small language model 3D-parallelism training using NumPy and MPI

reproducibility_gae icon reproducibility_gae

Reproducibility lab, part of the RL course at the UvA. Investigating the benefits and disadvantages of GAE compared to Monte-Carlo returns and 1-step methods

ria icon ria

Robust Image Analysis - fast operations on 3D data (image labeling, component analysis, etc.) written in Rust

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