xbresson/Teaching_Resources xbresson/Teaching_Resources

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xbresson/Teaching_Resources
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xbresson

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Xavier Bresson's Teaching Resources

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1

GML2023

Graph Machine Learning course, Xavier Bresson, 2023
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CS6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
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spectral_graph_convnets

PyTorch implementation of spectral graph ConvNets, NeurIPS’16
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4

CE7454_2019

Deep learning course CE7454, 2019
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CS5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021
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TSP_Transformer

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CS4243_2022

Computer Vision and Pattern Recognition, NUS CS4243, 2022
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spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18
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CE7454_2018

Deep learning course CE7454, 2018
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CE9010_2018

Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
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11

CS5284_2024

NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024
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CE7454_2020

Deep learning course CE7454, 2020
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13

IPAM_Tutorial_2019

Notebooks for IPAM Tutorial, March 15 2019
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AI6103_2020

Master of AI, Deep learning course AI6103, 2020
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old_codes

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CE9010_2019

CE9010 Introduction to Data Analysis, 2019
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Long_Tailed_Learning_Requires_Feature_Learning

Repository for ICLR'23 Long-tailed Learning Requires Feature Learning
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CE9010_2020

CE9010 Introduction to Data Analysis, 2020
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feature_collapse

Code for "Feature Collapse"
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CE9010_2021

CE9010 Introduction to Data Analysis, 2021
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pcut

Code for Product Cut clustering technique, NIPS'16
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demo_pytorch_dqn__with_4_observations

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