AriChow

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

arichow.github.io

dvc_basics

EL

Code for emergent languages

error_propagation

This project is for understanding and quantifying the errors in a machine learning or data analytic pipeline. Two approaches are explored. The first is using freezing and unfreezing of pipeline components (using optimization techniques like grid-search, random-search, Bayesian Optimization, Genetic Algorithms etc.). The second is using a gradient based approach to quantify the gradients of the expected error w.r.t the algorithms and hyperparameters.

fastestimator

building deep learning model fast & easy

hello-github-actions

image_analysis_toolbox

Toolbox for image analysis pipeline (image pre-processing, feature extraction, feature preprocessing, dimensionality reduction, classification, clustering and regression). Powered by sklearn and other python libraries.

stochastic_search

Stochastic search based CASH optimizer

thesis

RPI PhD thesis

AriChow/EL

Code for emergent languages

AriChow/image_analysis_toolbox

Toolbox for image analysis pipeline (image pre-processing, feature extraction, feature preprocessing, dimensionality reduction, classification, clustering and regression). Powered by sklearn and other python libraries.

AriChow/stochastic_search

Stochastic search based CASH optimizer

AriChow/academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

AriChow/arichow.github.io

AriChow/dvc_basics

AriChow/error_propagation

This project is for understanding and quantifying the errors in a machine learning or data analytic pipeline. Two approaches are explored. The first is using freezing and unfreezing of pipeline components (using optimization techniques like grid-search, random-search, Bayesian Optimization, Genetic Algorithms etc.). The second is using a gradient based approach to quantify the gradients of the expected error w.r.t the algorithms and hyperparameters.

AriChow/fastestimator

building deep learning model fast & easy

AriChow/hello-github-actions

AriChow/thesis

RPI PhD thesis