-
Hamburg University of Technology
- Hamburg, Germany
Lists (1)
Sort Name ascending (A-Z)
Starred repositories
Python library to train neural networks with a strong focus on hydrological applications.
Python tools for cloud-native coastal analytics
Powerful .NET library for benchmarking
A modular Obsidian vault template for professional profile management, career tracking, and AI-assisted application preparation — CVs, grants, fellowships, and more.
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
Burmese Handwritten Digits Dataset (inspired by MNIST dataset)
Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM)
Python tools to work with weather and climate data
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
🌎 Regional-to-global coupled ocean and sea ice simulations based on Oceananigans
ignorant allows you to check if a phone number is used on different sites like snapchat, instagram.
A multi core friendly rigid body physics and collision detection library. Written in C++. Suitable for games and VR applications. Used by Horizon Forbidden West and Death Stranding 2.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Benchmarking of machine learning and numerical weather prediction (MLWP & NWP) models, with a focus on extreme events.
Cloud Optimized GeoTIFF creation and validation plugin for rasterio
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
DeepTutor: Agent-native Personalized Tutoring. https://deeptutor.info/.
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
A curated list of awesome astrophysical simulation codes
Lorenz 1996 two time-scale model for learning machine learning