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Name: Andrés Hoyos Idrobo
Type: User
Company: Rakuten
Location: France
Name: Andrés Hoyos Idrobo
Type: User
Company: Rakuten
Location: France
Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).
This is my curriculum vitae, I put it here so I can used whenever it's needed
Differentiable convex optimization layers
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
This repository contains our implementation of the ontology matching framework based on representation learning.
Practical assignments of the Deep|Bayes summer school 2019
Code for the results of the Paper:
Implementation of DeepJDOT in Keras
Python library assists deep learning on graphs
DeepWalk - Deep Learning for Graphs
Python package built to ease deep learning on graph, on top of existing DL frameworks.
python, scala, and pyspark code for few dimensional reduction algorithms
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 Fair Rankings
Dynamic Topic Modeling via Non-negative Matrix Factorization
Dynamic pricing for selling perishable goods
An Experimental Study of State-of-the-Art Entity Alignment Approaches
Must-read papers on entity alignment published in recent years
ESC-50: Dataset for Environmental Sound Classification
Code to reproduce the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"
Python code for training fair logistic regression classifiers.
Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019
FairExp-PairRank
Reductions for Fair Machine Learning
Code for fair classification (SVM) and dimensionality reduction (PCA)
This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
A library for efficient similarity search and clustering of dense vectors.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.