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๐Ÿ‘‹ Hi, I'm Lukas Hedegaard

PostDoc at Aarhus University, Denmark researching Deep Learning, network acceleration and Transfer Learning applied to Computer Vision and Natural Language Processing. Recent works include:

Apart from doing ML research projects (like real-time Human Activity Recognition using CoX3D โ˜๏ธ), I like to package code up nicely and open-source whenever it may be of value. Open-source libraries include:

  • Continual Inference [๐Ÿ, C++] downloads - Building blocks for Continual Inference Networks in PyTorch.
  • Ride [๐Ÿ] downloads - Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch.
  • OpenDR [๐Ÿ, C++] downloads - A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning.
  • DatasetOps [๐Ÿ] downloads - Fluent dataset operations, compatible with your favorite libraries.
  • PyTorch Benchmark [๐Ÿ] downloads - Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption.
  • Co-Rider [๐Ÿ] downloads - Tiny configuration library tailored for the Ride ecosystem.
  • Supers [๐Ÿ] downloads - Call a function in all superclasses using supers(self).foo(42).
  • react-native-svg-pan-zoom [JS] downloads - Pan-zoom via two-finger "Google Maps"-style pinch and drag gestures.
  • redux-maybe [JS] downloads - Nodejs Package for attaching callback functions to redux messages.
  • redux-blabber [JS] downloads - Redux store enhancer for synchronizing states and actions across store instances.

Find me ๐ŸŒ

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