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Andrés Hoyos Idrobo's Projects

cso-classifier icon cso-classifier

Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).

cv icon cv

This is my curriculum vitae, I put it here so I can used whenever it's needed

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

deep-align icon deep-align

This repository contains our implementation of the ontology matching framework based on representation learning.

deepsnap icon deepsnap

Python library assists deep learning on graphs

dgl icon dgl

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

dimred icon dimred

python, scala, and pyspark code for few dimensional reduction algorithms

dowhy icon dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dynamic-nmf icon dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

eae icon eae

An Experimental Study of State-of-the-Art Entity Alignment Approaches

esc-50 icon esc-50

ESC-50: Dataset for Environmental Sound Classification

exprnn icon exprnn

Code to reproduce the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"

fair-pgrank icon fair-pgrank

Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019

fairml icon fairml

Code for fair classification (SVM) and dimensionality reduction (PCA)

fairness-in-ml icon fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

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