Aditya Saini's repositories
Machine-Learning-Resources
A repository containing useful stuff for an aspiring Machine Learning enthusiast. Useful PRs are appreciated.
DataScienceTutorials.jl
A set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
Gaussian-Mixture-Model-from-scratch
Implementing Gaussian Mixture Model from scratch using python class and Expectation Maximization algorithm. It is a clustering algorithm having certain advantages over kmeans algorithm.
GPyOpt
Gaussian Process Optimization using GPy
HackerRank_solutions-1
317 efficient solutions to HackerRank problems
MLJ.jl
A Julia machine learning framework
MLJBase.jl
Core functionality for the MLJ machine learning framework
MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
shap
A game theoretic approach to explain the output of any machine learning model.
Turing.jl
Bayesian inference with probabilistic programming.