Skip to content
View kratzert's full-sized avatar
605 followers · 9 following

Achievements

Achievement: Galaxy Brainx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruckx3

Achievements

Achievement: Galaxy Brainx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Arctic Code Vault ContributorAchievement: Starstruckx3

Highlights

  • Pro

Block or report kratzert

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
kratzert/README.md

Hi there 👋

I'm Frederik Kratzert, Researcher @ Google working in the Flood Forecasting Team. This here is my private GitHub account, were I maintain my open source projects and publish code related to any kind of research articles.

🤓 Research 🤔

Most of my research is dedicated towards solving applications in environmental sciences (mainly hydrology) with machine learning.

Links

Pinned Loading

  1. neuralhydrology/neuralhydrology neuralhydrology/neuralhydrology Public

    Python library to train neural networks with a strong focus on hydrological applications.

    Python 375 193

  2. finetune_alexnet_with_tensorflow finetune_alexnet_with_tensorflow Public

    Code for finetuning AlexNet in TensorFlow >= 1.2rc0

    Jupyter Notebook 777 414

  3. RRMPG RRMPG Public

    Rainfall-Runoff modelling playground

    Python 75 22

  4. pangeo_lstm_example pangeo_lstm_example Public

    Example notebook, showing how to use LSTMs for rainfall-runoff modeling

    Jupyter Notebook 66 44

  5. Caravan Caravan Public

    A global community dataset for large-sample hydrology

    Jupyter Notebook 181 35