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Here are some ideas to get you started:

  • 🔭 I’m currently working on improving my skills in Data Science and Deep Learning Area.
  • 🌱 I’m currently learning Genetic Algorithms and Evolutionary Computing.
  • 👯 I’m looking to collaborate on Graph Data Science/Machine Learning projects
  • 💬 Ask me about graph algorithm, neural networks, genetic algorithms, evolutionary computing and federated learning.
  • 📫 How to reach me: Twitter, Email

Maciej Krzywda's Projects

cleora icon cleora

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

cs6208_2023 icon cs6208_2023

Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

evotorch icon evotorch

EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

keras-deep-graph-learning icon keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

naslib-tutorial icon 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 icon pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

sci-hub icon sci-hub

Python script to download papers from sci-hub

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