Highlights
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Starred repositories
Recipe for a General, Powerful, Scalable Graph Transformer
Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
An introduction to diffusion models and how to apply them in a practical way
Interactive visualizations of the theory behind diffusion models.
PyTorch reimplementation of Diffusion Models
Analysis of Real and Synthetic Optical Network Topologies
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
High-Performance Symbolic Regression in Python and Julia
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Code and Notebooks for the Seasfire DataCube Paper
UC Berkeley signal and system course
A data benchmark for optical network topologies and traffic
Speedtest by Ookla Global Fixed and Mobile Network Performance Map Tiles
graph representation learning model that incorporates topological information
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Benchmark datasets, data loaders, and evaluators for graph machine learning
Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth: Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by β¦
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
Net2Plan simulator. An optical network modeling and design tool
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
EPFL CH-457 "AI for chemistry"
Tabular Deep Learning Library for PyTorch
Accompanied repositories for our paper Graph foundation model