David Refaeli MaverickMeerkat
MaverickMeerkat
/ QuantileRegression.ipynb
Created
October 31, 2023 16:25
Different ways to preform quantile-regression in Python (using linear programming, IRLS and gradient descent)
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| # Using the CAVI algorithm on a (Bayesian) GMM example | |
| library(mvtnorm) # for multivariate normal density | |
| library(extraDistr) # for Categorical distribution | |
| library(pracma) # for 2d-integral, sqrtm | |
| library(matlib) # for solving linear equations | |
| library(ggplot2) # for plotting | |
| # Hyper Parameters | |
| sigma = 3 # Variance of mu |
MaverickMeerkat
/ EM_GMM.R
Created
September 4, 2023 13:12
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| # Expectation Maximization - Gaussian Mixture Model | |
| library(ks) # for kde | |
| library(mvtnorm) # for MVNormal | |
| library(extraDistr) # for Categorical & Dirichlet distribution | |
| library(ggplot2) # for plotting | |
| library(pracma) # for sqrtm | |
| ###################### | |
| # 1D, 2-components # |
MaverickMeerkat
/ KDE_Kernel_Regression_1.R
Created
September 4, 2023 11:04
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| library(gganimate) | |
| library(plotly) | |
| ########### | |
| # General # | |
| ########### | |
| # Set the Kenrel function | |
| # Uniform Kernel | |
| f = function(u) as.numeric((u<=0.5) & (u>=-0.5)) | |
| # Normal Kernel |
MaverickMeerkat
/ sgd-variants-momentum-rmsprop-adam-part-2-code.ipynb
Created
April 4, 2023 16:04
SGD Variants: Momentum, RMSprop, Adam - Part 2: Code.ipynb
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MaverickMeerkat
/ implement-a-nn-part-5-batch-norm.ipynb
Created
April 4, 2023 15:42
Implement a NN - Part 5: Batch Norm.ipynb
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MaverickMeerkat
/ implement-a-nn-part-3-multiclass-using-softmax.ipynb
Created
April 4, 2023 13:04
Implement a NN - Part 3: Multiclass using Softmax.ipynb
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MaverickMeerkat
/ gpreg-vs-multiple-linear-regression-portfolio.ipynb
Created
March 10, 2023 11:18
GPReg vs. (Multiple) Linear Regression - portfolio.ipynb
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MaverickMeerkat
/ Gaussian Processes.ipynb
Created
September 11, 2022 14:45
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MaverickMeerkat
/ Gauss-Newton.ipynb
Created
September 11, 2022 14:09
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