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

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Top repositories

1

SSLTransformerRS

Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper Award
Python
80
star
2

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.
Python
39
star
3

MaskedSST

Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023
Python
32
star
4

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"
Python
28
star
5

IGARSS2023_EfficientDeepLearningEO

Course materials for the IGARSS 2023 Tutorial "Efficient Deep Learning for Earth Observation"
Jupyter Notebook
26
star
6

GDA

Code repository for "Parameter Efficient Self-supervised Geospatial Domain Adaptation", CVPR 2024
Python
23
star
7

Global-NO2-Estimation

Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022
Jupyter Notebook
20
star
8

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.
Python
20
star
9

ben-ge

Official repository of the ben-ge Earth Observation dataset
17
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10

NeurIPS_2021-Weight_Space_Learning

Code Repository for the NeurIPS 2021 paper: "Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction".
Python
15
star
11

NeurIPS_2022-Generative_Hyper_Representations

Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
Python
14
star
12

LabAIML

Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".
Jupyter Notebook
7
star
13

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
Python
6
star
14

SANE

Code Repository for the ICML 2024 paper: "Towards Scalable and Versatile Weight Space Learning".
Python
6
star
15

PaperDiscussionClub

AI:ML Paper Discussion Club
4
star
16

LabMLDL

Lab Materials for the lecture "Introduction to Machine Learning and Deep Learning".
Jupyter Notebook
2
star
17

SelfSupervised

Python
1
star
18

LabML

Lab Materials of the 6,126,1.00 BBWL lecture "Machine Learning".
Jupyter Notebook
1
star
19

LabGSERM

Lab Materials for the lecture GSERM'21 course "Deep Learning: Fundamentals and Applications".
Jupyter Notebook
1
star
20

Continual-Text-to-Speech

Continual Text-to-Speech (TTS)
Python
1
star
21

HSG-AIML.github.io

HSG-AIML research website
HTML
1
star