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Name: Artificial Intelligence & Machine Learning (AI:ML Lab) @ HSG
Type: Organization
Bio: Deep Learning Research by AIML Team @ HSG
Location: St.Gallen
Blog: www.hsg.ai
Name: Artificial Intelligence & Machine Learning (AI:ML Lab) @ HSG
Type: Organization
Bio: Deep Learning Research by AIML Team @ HSG
Location: St.Gallen
Blog: www.hsg.ai
Official repository of the ben-ge Earth Observation dataset
Continual Text-to-Speech (TTS)
A series of interactive labs we prepared for the Introduction into Artificial Intelligence and Machine Learning course. The content of the series is based on Python, IPython Notebook, and PyTorch.
Code repository for the CVPR 2024 paper "Parameter Efficient Self-supervised Geospatial Domain Adaptation".
Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022
HSG-AIML research website
Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"
Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.
Resources for HSG Course EMBA 58/59 - W8/3: Coding für Führungskräfte
Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".
Lab Materials for the lecture GSERM'21 course "Deep Learning: Fundamentals and Applications".
Lab Materials of the 6,126,1.00 BBWL lecture "Machine Learning".
Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023
Code Repository for: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction" paper from NeurIPS 2021
Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Workshop on "Tackling Climate Change with Machine Learning"
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space, presented at Tackling Climate Change with Machine Learning workshop at ICML 2021.
Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".
Code repository for Hanna, J., Mommert, M., & Borth, D. (2023). Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation, In CVPRW EarthVision 2023
Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.