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GML2023
Graph Machine Learning course, Xavier Bresson, 2023CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023spectral_graph_convnets
PyTorch implementation of spectral graph ConvNets, NeurIPSβ16CE7454_2019
Deep learning course CE7454, 2019CS5242_2021
Neural Networks and Deep Learning, NUS CS5242, 2021TSP_Transformer
Code for TSP TransformerCS4243_2022
Computer Vision and Pattern Recognition, NUS CS4243, 2022spatial_graph_convnets
PyTorch implementation of residual gated graph ConvNets, ICLRβ18CE7454_2018
Deep learning course CE7454, 2018CE9010_2018
Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18CS5284_2024
NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024IPAM_Tutorial_2019
Notebooks for IPAM Tutorial, March 15 2019AI6103_2020
Master of AI, Deep learning course AI6103, 2020old_codes
CE9010_2019
CE9010 Introduction to Data Analysis, 2019Long_Tailed_Learning_Requires_Feature_Learning
Repository for ICLR'23 Long-tailed Learning Requires Feature LearningCE9010_2020
CE9010 Introduction to Data Analysis, 2020feature_collapse
Code for "Feature Collapse"CE9010_2021
CE9010 Introduction to Data Analysis, 2021pcut
Code for Product Cut clustering technique, NIPS'16Teaching_Resources
Xavier Bresson's Teaching Resourcesdemo_pytorch_dqn__with_4_observations
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