Skip to content
View lorenzoh's full-sized avatar

Highlights

  • Pro

Organizations

@FluxML

Block or report lorenzoh

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
lorenzoh/README.md

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).

Pinned Loading

  1. FluxML/FastAI.jl FluxML/FastAI.jl Public

    Repository of best practices for deep learning in Julia, inspired by fastai

    Julia 587 50

  2. FluxML/FluxTraining.jl FluxML/FluxTraining.jl Public

    A flexible neural net training library inspired by fast.ai

    Julia 121 26

  3. FluxML/DataAugmentation.jl FluxML/DataAugmentation.jl Public

    Flexible data augmentation library for machine and deep learning

    Julia 43 18

  4. DataLoaders.jl DataLoaders.jl Public

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

    Julia 76 9

  5. Pollen.jl Pollen.jl Public

    Format-independent document generation tool built for interactive work

    Julia 76 5