torchbearer: A model fitting library for PyTorch

A lean C++ library for working with point cloud data

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

Python framework for multi-parameter optimization and model evaluation

JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets

tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics

Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems

Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.

An R package of S3 generic methods for Bayesian analyses that generate MCMC samples

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

Meta-analysis toolbox for basic research applications. Developed in MATLAB R2016b.

This MATLAB script fits either a linear or hyperbolic function to time-series data (e.g., growth data).

Finding Donors for CharityML

code to infer model parameters from data (first dedicated to the dynamic clicks task)

Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Regression Models Course: Motor Trend Project repo: date created 61229

The projects which involve the use of ML concepts

Toolbox for change-point detection and ideal-observer analyses of IBL task data

GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga

Reference repository for code used in our NBDT publication on the dynamic clicks task

a curvature descent optimisation routine for highly parameterised non-linear dynamical models