Fundamentals of Biometric Systems Design Assignments
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Updated
Jun 10, 2024 - Jupyter Notebook
Fundamentals of Biometric Systems Design Assignments
Interface for mathematical/statistical densities in Julia
This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
Public version of PolyChord: See polychord.co.uk for PolyChordPro
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
Some movies to teach statistical concepts
Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R
Training a simple AI using the policy-gradient approach to Reinforcement Learning.
Classifying certain music genre and others utilizing Log-likelihood Ratio and Logistic Regression
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
Likelihood-Based Inference for Time Series Extremes
Machine Learning algorithms implemented from scratch
Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
Classical ML algorithms implementation.
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