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
Simple application to plan data transfers.
Densely Connected Neural Network using Tensorflow on wines data
Exposing classification algorithms compatible with scikit-learn API.
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
Multi-core EBGstop algorithm implementation
R package for estimating probability for binomial data with a beta prior
TensorFlow practice using the higher-level APIs
Handwritten digit recognizer AI.
Pi estimator by placing random dots in a square and count how many are inside an inscribed circle.
Simulation for estimation of integral of squared derivative of a density function
Class project in Causal Inference, link below:
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