blopmatch: Matching Estimator based on a Bilevel Optimization Problem
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Updated
Dec 1, 2019 - R
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Scikit-learn-compatible python3 wrapper for Tsetlini - a Tsetlin Machine learning model
Simple application to plan data transfers.
In optimal control theory aka Linear Quadratic Estimator (LQE)
DeepEfficiency - optimal efficiency inversion in higher dimensions at the LHC [arXiv:1809.06101]
Densely Connected Neural Network using Tensorflow on wines data
Código referente aos estudos da disciplina de Introdução à Estatística do curso de Sistemas de Informação da EACH
A web app designed to make quoting customers easier!
How to train a model on multiple GPUs using TF Estimator API
Exposing classification algorithms compatible with scikit-learn API.
Unbiasedness of the Sample Variance through a Monte-Carlo simulation.
Estimate cost of a data breach based on findings within the IBM Cost of a Data Breach report
Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)
Structure Learning of Probabilistic Graphical models: Bayesian Network
This repository verifies through simulation on MATLAB the LMS estimator criterion in case of "Lack of observation". Three different distributions: Uniform, Gaussian and Rayleigh are used to verify the criterion. For each case, deviating from the LMSE criterion results in very large increase in LMS Cost.
Tensorflow codes written as part of Advanced Machine Learning Course Work
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