xbresson / CS6208_2023Links
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
☆324Updated 2 years ago
Alternatives and similar repositories for CS6208_2023
Users that are interested in CS6208_2023 are comparing it to the libraries listed below
Sorting:
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆171Updated 3 years ago
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated 11 months ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆500Updated last year
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆388Updated last year
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆78Updated 8 months ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆190Updated 3 years ago
- ☆175Updated last year
- A curated list of topological deep learning (TDL) resources and links.☆256Updated last month
- ☆494Updated 3 months ago
- ☆59Updated 3 years ago
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆396Updated 3 months ago
- A repo for holding example code☆157Updated 2 months ago
- Tabular Deep Learning Library for PyTorch☆686Updated this week
- All about the fundamental blocks of TF and JAX!☆275Updated 3 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- ☆38Updated last week
- Code and Content for Manning Publication on Graph Neural Networks☆90Updated 5 months ago
- ☆80Updated 11 months ago
- Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.☆424Updated last week
- here you can find the material used for our Tutorials☆103Updated 3 years ago
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆175Updated last year
- A research library for automating experiments on Deep Graph Networks☆223Updated 10 months ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- RelBench: Relational Deep Learning Benchmark☆278Updated last week
- Hands-On Graph Neural Networks Using Python, published by Packt☆928Updated last month
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- A walkthrough of transformer architecture code☆351Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- All about the fundamentals and working of Diffusion Models☆158Updated 2 years ago