Stars
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Graph Neural Network library made for Apple Silicon
A PyTorch implementation of of E-GraphSAGE.
Foundational Models for State-of-the-Art Speech and Text Translation
A little tool to play with Windows security
An open-source, low-code machine learning library in Python
An open-source framework for self-supervised recommender systems.
A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
Implementation and experiments of graph embedding algorithms.
A large-scale database for graph representation learning
Graph Neural Network Library for PyTorch
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Python package built to ease deep learning on graph, on top of existing DL frameworks.
StellarGraph - Machine Learning on Graphs