Artificial Intelligence & Machine Learning (AI:ML Lab) @ HSG

ben-ge

Official repository of the ben-ge Earth Observation dataset

Global-NO2-Estimation

Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022

IGARSS2023_EfficientDeepLearningEO

Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"

IndustrialSmokePlumeDetection

Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.

MaskedSST

Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023

NeurIPS_2021-Weight_Space_Learning

Code Repository for: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction" paper from NeurIPS 2021

NeurIPS_2022-Generative_Hyper_Representations

RemoteSensingCO2Estimation

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"

RemoteSensingNO2Estimation

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.

SSLTransformerRS

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award

HSG-AIML/SSLTransformerRS

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision workshop - Best Student Paper Award

HSG-AIML/IndustrialSmokePlumeDetection

Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.

HSG-AIML/MaskedSST

Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023

HSG-AIML/IGARSS2023_EfficientDeepLearningEO

Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"

HSG-AIML/RemoteSensingCO2Estimation

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"

HSG-AIML/RemoteSensingNO2Estimation

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.

HSG-AIML/Global-NO2-Estimation

Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022

HSG-AIML/ben-ge

Official repository of the ben-ge Earth Observation dataset

HSG-AIML/NeurIPS_2021-Weight_Space_Learning

Code Repository for: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction" paper from NeurIPS 2021

HSG-AIML/NeurIPS_2022-Generative_Hyper_Representations

HSG-AIML/LabAIML

Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".

HSG-AIML/sparse-vit-wsss

Code repository for Hanna, J., Mommert, M., & Borth, D. (2023). Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation, In CVPRW EarthVision 2023

HSG-AIML/Continual-Text-to-Speech

Continual Text-to-Speech (TTS)

HSG-AIML/HSG-AIML.github.io

HSG-AIML research website

HSG-AIML/LabGSERM

Lab Materials for the lecture GSERM'21 course "Deep Learning: Fundamentals and Applications".

HSG-AIML/LabML

Lab Materials of the 6,126,1.00 BBWL lecture "Machine Learning".

HSG-AIML/SelfSupervised

HSG-AIML/courseAIML

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.

HSG-AIML/GDA

HSG-AIML/LabAI-Coding

Resources for HSG Course EMBA 58/59 - W8/3: Coding für Führungskräfte

HSG-AIML/NO2-dataset