Maciej Krzywda's Projects
A collection of important graph embedding, classification and representation learning papers with implementations.
Paper Lists for Graph Neural Networks
Repository for benchmarking graph neural networks
Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Python package built to ease deep learning on graph, on top of existing DL frameworks.
EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
A take on the book "Genetic Algorithms in Elixir"
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Sandbox to analysis and benchmarking Graph Transformer Neural Networks
Image classifier in Elixir
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
Neural Architecture Search (NAS) papers with code
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.
A Python Library for Graph Outlier Detection (Anomaly Detection)
Generate embeddings from large-scale graph-structured data.
Geometric Deep Learning Extension Library for PyTorch
:books: Learn to write an embedded OS in Rust :crab:
Python script to download papers from sci-hub