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academic-knowledge-analytics-visualization

Various examples to perform big data analytics over Microsoft Academic Graph and visualize the results.

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-network-embedding

A curated list of network embedding techniques.

bigdata-exercises

Exercises for the Big Data lecture at ETH Zurich (Fall 2021)

brat

brat rapid annotation tool (brat) - for all your textual annotation needs

cleanml

A Benchmark for Joint Data Cleaning and Machine Learning

dedupe

:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.

deep-forecasting

Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation

dgl

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

discretefhmm

Factorial Hidden Markov Models (FHMM) implemented for discrete observation values (like words)

ethz-thesis

LaTeX template for a PhD thesis at ETH Zurich

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

fraud-detection-handbook

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

gem

getcoordinates

Get the coordinates (longitude and latitude) based on the zip code

glove

GloVe model for distributed word representation

gnnpapers

Must-read papers on graph neural networks (GNN)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hdltex

HDLTex: Hierarchical Deep Learning for Text Classification

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

irm

Infinite Relational Model

irm-1

Infinite relational model (IRM) for datamicroscopes

lane

Label Informed Attributed Network Embedding, WSDM 2017

learning-spark

Example code from Learning Spark book

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mlss2018-madrid-gan

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

mmdw

Max-margin DeepWalk

pdfminer

Python PDF Parser

pentabarf-rdf

Pentabarf XML to RDF converter