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 - Data and Tensor parallel is working.
- Currently learning the
rust 🦀Zig language.
Name: Laurens Weitkamp
Type: User
Bio: Deep Learning Engineer
Twitter: laurensweitkamp
I'm currently a deep learning engineer for Thirona, a medical imaging startup. I'm also:
PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
Implementation of several Generative Adversarial Networks in JAX / Flax
Repo for classification project using the inception v3 model
Monte Carlo approximation of the KL Divergence
Simplistic small language model 3D-parallelism training using NumPy and MPI
PyTorch implementation of the Option-Critic framework, Harb et al. 2016
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
An introduction to programming in Triton
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.