Evaluation Framework for Probabilistic Programming Languages
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Updated
Jan 18, 2024 - Python
Evaluation Framework for Probabilistic Programming Languages
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB
Notebooks for Advanced Statistical Inference(ASI) course at EURECOM
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Analysis on Breast Cancer data set using Support Vector Machines, Bayesian Logistic Regression and Naive Bayes coded from scratch.
University of Toronto, STA304(2020 Fall), group5, problem set 3 repository
Two-parameter Bayesian logistic dose-escalation model to find the maximum tolerated dose (MTD) of HTL0039732 agent alone and in combination with a backbone agent in patients with solid tumours.
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