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graphbig

A Comprehensive Benchmark Suite for Graph Computing

hedwig

A subgroup discovery tool that can use ontological domain knowledge (RDF graphs) in the learning process. Subgroup descriptions contain terms from the given domain knowledge and enable potentially better generalizations.

hedwig3

Towards scalable SDM (Hedwig update)

image-preprocessing

a python image data augmentation library for deep learning

infomap

Multi-level network clustering based on the Map Equation

jstsp2015

This is the code associated to the 2015 submission to JSTSP

kbnr

keras-io

Keras documentation, hosted live at keras.io

language-comparisons

locimapviz

Sequence alignment visualisation and analysis software

machine-learning-practical-

machine learning

mps_tex_template

LaTex template for MPS presentations

multilingual-detection-of-fake-news-spreaders-via-sparse-matrix-factorization

Fake news is an emerging problem in online news and social media. Efficient detection of fake news spreaders and spurious accounts across multiple languages is becoming an interesting research problem, and is the key focus of this paper. Our proposed solution to PAN 2020 fake news spreaders challenge models the accounts responsible for spreading the fake news by accounting for different types of textual features, decomposed via sparse matrix factorization, to obtain easy-to-learn-from, compact representations, including the information from multiple languages. The key contribution of this work is the exploration of how powerful and scalable matrix factorization-based classification can be in a multilingual setting, where the learner is presented with the data from multiple languages simultaneously. Finally, we explore the joint latent space, where patterns from individual languages are maintained. The proposed approach scored second on the 2020 PAN shared task for identification of fake news spreaders.

networkx

Network Analysis in Python

node2vec

nordung_examples

Arcsub example scripts

nrd

NRD

partially-quantum

Some experiments with quantum computing

pgre-genome-region-extractor

Genome region extractino algorithm, written in Perl

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

probisparser

Simple R library for parsing .lig files.

progressbar

Lightweight javascript nanoscopic progress bar, Animation that shows something is in process.

propstar

Propositionalization and embeddings.

py3plex

Py3plex - A multilayer complex network visualization and analysis library in python3

pybed

Python time series embedding

pycx

PyCX is a Python-based sample code repository for complex systems research and education.

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qcm

Updated QCM software