Maciej Krzywda's repositories
GraphTransformers
Sandbox to analysis and benchmarking Graph Transformer Neural Networks
CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Graph-Neural-Networks-in-Computer-Vision---Architectures-Datasets-and-Common-Approaches
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
benchmarking-gnns
Repository for benchmarking graph neural networks
cleora
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
evotorch
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
GeneticAlgorithmsInElixir
A take on the book "Genetic Algorithms in Elixir"
Graph_Transformer_Networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
keras-deep-graph-learning
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
NAS-With-Code
Neural Architecture Search (NAS) papers with code
NASLib-tutorial
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
rust-raspberrypi-OS-tutorials
:books: Learn to write an embedded OS in Rust :crab:
sphinx_iowmd_theme
Material Design Html Theme for Sphinx.
Transformers-Recipe
🧠A quick recipe to learn all about Transformers