log-likelihood
There are 32 repositories under log-likelihood topic.
acerbilab/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
PolyChord/PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
acerbilab/pybads
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
jhelvy/logitr
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
gbroques/naive-bayes
A Python implementation of Naive Bayes from scratch.
acerbilab/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
aalok-sathe/surprisal
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
369geofreeman/Ornstein_Uhlenbeck_Model
A log likelihood process for optimal entry / exit / stopping.
JuliaMath/DensityInterface.jl
Interface for mathematical/statistical densities in Julia
hussain0048/Natural-language-processing
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)
lacerbi/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
paulnorthrop/lite
Likelihood-Based Inference for Time Series Extremes
acerbilab/pyibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
TomMakesThings/Phylogenetic-Tree-Inference
Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm
bcbi/MaximumLikelihoodProblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
markjolah/PriorHessian
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
paulnorthrop/smovie
Some movies to teach statistical concepts
sichkar-valentyn/Logistic_Regression
Implementing Logistic Regression for the Image Recognition task
apogosyan323/TimeSeries-Government-Employment
total raw governmental industry employment data from January 1 1939 to October 30 2019. Time Series analysis to forecast employment from October 2019-October 2020.
ferdiUP/machine-learning
Classical ML algorithms implementation.
Hermann-web/some-common-statistical-methods
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
leyresv/ML_algorithms_from_scratch
Machine Learning algorithms implemented from scratch
petermchale/pong_RL
Training a simple AI using the policy-gradient approach to Reinforcement Learning.
SimonVaughanDataAndCode/gin
Gaussian Process Inference
tamajit-banerjee/Robot_Localization
Robot Localization using Hidden Markov Model
AzitaKalantar/Logistic-regression-and-Gradient-descent-
This is a program written in R that finds the optimal coefficients for the arbitrary data set through minimising log-likelihood function using Gradient Descent
ciCciC/dsclassifyingmusicgenre
Classifying certain music genre and others utilizing Log-likelihood Ratio and Logistic Regression
lacerbi/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
mustafa1728/Robot_Localization
Robot Localization using Hidden Markov Model
RaczeQ/naive-bayes-classifier
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
sagarmk/Logistic-regression-from-scratch
Building Logistic Regression from scratch
Vvkmnn/introDL
An introductory neural network.