Xavier Bresson

GML2023. Graph Machine Learning course, Xavier Bresson, 2023

CS5242_2025. NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025

CS6208_2023. Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

spectral_graph_convnets. PyTorch implementation of spectral graph ConvNets, NeurIPS’16

TSP_Transformer. Code for TSP Transformer

CS5242_2021. Neural Networks and Deep Learning, NUS CS5242, 2021

CE7454_2019. Deep learning course CE7454, 2019

CS4243_2022. Computer Vision and Pattern Recognition, NUS CS4243, 2022

spatial_graph_convnets. PyTorch implementation of residual gated graph ConvNets, ICLR’18

CE7454_2018. Deep learning course CE7454, 2018

CS5284_2024. NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024

CE9010_2018. Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18

CE7454_2020. Deep learning course CE7454, 2020

CS5284_2025. NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2025

IPAM_Tutorial_2019. Notebooks for IPAM Tutorial, March 15 2019

AI6103_2020. Master of AI, Deep learning course AI6103, 2020

old_codes. HTML

CS5242_2026. NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2026

CE9010_2019. CE9010 Introduction to Data Analysis, 2019

Long_Tailed_Learning_Requires_Feature_Learning. Repository for ICLR'23 Long-tailed Learning Requires Feature Learning

CE9010_2020. CE9010 Introduction to Data Analysis, 2020

feature_collapse. Code for "Feature Collapse"

CE9010_2021. CE9010 Introduction to Data Analysis, 2021

pcut. Code for Product Cut clustering technique, NIPS'16

demo_pytorch_dqn__with_4_observations. Jupyter Notebook