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Hi, I'm Lorenz 👋

I am passionate about computer vision, deep learning and software design.

Without a particular order, things I am interested in: computer vision, software, martial arts, API design, Neapolitan pizza, procedural generation, pen & paper, developer experience, technical writing, reading, pose estimation and more that I might find the time to add later 😅.

If you want to reach out, feel free to message me on my Twitter, @holylorenzo!

Here on GitHub, I mainly work on better tooling for deep learning in Julia. To do this, I've authored several Julia libraries, including:

  • FastAI.jl, a high-level interface for complete deep learning projects (approved by fastai creators) (see the announcement post),
  • FluxTraining.jl, an extensible training loop with best practices,
  • DataLoaders.jl, an efficient, parallel data loader for larger-than-memory datasets
  • DataAugmentation.jl: high-performance, composable data augmentations for 2D and 3D spatial data like images, segmentation masks, and keypoints
  • Pollen.jl, a documentation system to build beautiful documentation pages for your libraries (see this example page)

I'm also a member of the FluxML organization. If you're interested in contributing, come say hi on the Zulip channel or on the biweekly ML ecosystem call (find the link here).

lorenzoh's Projects

dataloaders.jl icon dataloaders.jl

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

flux.jl icon flux.jl

Relax! Flux is the ML library that doesn't make you tensor

fluxmodels.jl icon fluxmodels.jl

Some useful model definitions from recent papers, mostly for computer vision.

general icon general

The official registry of general Julia packages

gumbo.jl icon gumbo.jl

Julia wrapper around Google's gumbo C library for parsing HTML

imageshow.jl icon imageshow.jl

Inline graphical display of images in Julia graphical environments

invariants.jl icon invariants.jl

Julia package for creating composable invariants with helpful error messages

lambda-packager icon lambda-packager

Uses the amazonlinux Docker image to build Python packages for AWS Lambda

liveserver.jl icon liveserver.jl

Simple development server with live-reload capability for Julia.

mldatasets.jl icon mldatasets.jl

Utility package for accessing common Machine Learning datasets in Julia

mlutils.jl icon mlutils.jl

Utilities and abstractions for Machine Learning tasks

modelutils.jl icon modelutils.jl

Utilities for working with Flux models. Initialization, hooks, iteration, visualization and more...

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