Projects in Awesome Lists tagged with log-likelihood
A curated list of projects in awesome lists tagged with log-likelihood .
https://github.com/acerbilab/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms
Last synced: 05 Mar 2026
https://github.com/acerbilab/pybads
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
bayesian-optimization log-likelihood noiseless-functions noisy-functions optimization-algorithms python
Last synced: 14 Jul 2025
https://github.com/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
log-likelihood logit logit-model mixed-logit mlogit multinomial-regression mxl mxl-models preference-space preferences r rstats rstats-package willingness-to-pay wtp
Last synced: 09 Aug 2025
https://github.com/gbroques/naive-bayes
A Python implementation of Naive Bayes from scratch.
classification data-mining data-mining-algorithms laplace-smoothing log-likelihood maximum-a-posteriori-estimation maximum-likelihood-estimation naive naive-algorithm naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naive-bayes-implementation naive-bayes-tutorial naivebayes python python3
Last synced: 15 Oct 2025
https://github.com/acerbilab/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
likelihood-free log-likelihood matlab sampling simulation-model
Last synced: 01 Mar 2026
https://github.com/astrazeneca/diffabxl
The official implementation of DiffAbXL benchmarked in the paper "Benchmarking Generative Models for Antibody Design".
antibody-design binding-affinity diffusion-models generative-ai graph-neural-networks in-silico-design llm-models log-likelihood
Last synced: 04 Sep 2025
https://github.com/lacerbi/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms
Last synced: 07 Oct 2025
https://github.com/paulnorthrop/lite
Likelihood-Based Inference for Time Series Extremes
clustered extremal-index extreme-value-statistics extremes frequentist generalised-pareto inference likelihood log-likelihood threshold time-series
Last synced: 19 Jun 2025
https://github.com/acerbilab/pyibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
likelihood-free log-likelihood python sampling simulation-model
Last synced: 19 May 2026
https://github.com/paulnorthrop/smovie
Some movies to teach statistical concepts
central-limit-theorem correlation-coefficient extremal-types-theorem extremes hypothesis-testing likelihood-ratio-test linear-regression log-likelihood movie probability-distributions regression score-test statistical-concepts statistics statistics-learning teaching teaching-materials test-statistic wald-test
Last synced: 16 Apr 2025
https://github.com/markjolah/priorhessian
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
Last synced: 13 Jan 2026
https://github.com/bcbi/maximumlikelihoodproblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
likelihood likelihood-functions log-likelihood log-likelihood-functions maximum-likelihood maximum-likelihood-estimation maximum-likelihood-problems statistical-inference statistics
Last synced: 19 Mar 2026
https://github.com/pngo1997/neural-network-implementation-evaluation
Implements the NNDL book's "network.py" code (Chapter 1) to improve its functionality and performance.
back-propagation cross-entropy epoch hyperparameter-optimization hyperparameter-tuning log-likelihood mini-batch-gradient-descent neural-network python sgd
Last synced: 10 May 2026
https://github.com/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
adjusted-r-squared beginner-project confidence-interval fisher-test hypothesis-testing kurtosis linear-regression log-likelihood log-loss-score-metric logistic-regression metrics-evaluation normality-test p-value python statistical-analysis statistical-models statistics student-test
Last synced: 23 Feb 2025
https://github.com/raczeq/naive-bayes-classifier
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
classification data-mining data-mining-algorithms log-likelihood maximum-a-posteriori-estimation maximum-likelihood-estimation naive naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naive-bayes-implementation naivebayes python python-3 python3
Last synced: 04 Apr 2025
https://github.com/lacerbi/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
likelihood-free log-likelihood matlab pyhton sampling simulation-model
Last synced: 30 Mar 2025
https://github.com/mushtabaa/encm509-labs
Fundamentals of Biometric Systems Design Assignments
bayesian-networks conditional-probability de-noising em-algorithm face-recognition feature-extraction fingerprint gabor-filter guassian-mixture-model hand-gesture-recognition log-likelihood long-short-term-memory pre-processing principal-component-analysis pyagrum segmentation statistical-analysis wiener-filter
Last synced: 09 Apr 2025
https://github.com/vvkmnn/introdl
An introductory neural network.
artificial-neural-networks log-likelihood neural-network tensorflow
Last synced: 18 May 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
Last synced: 06 May 2026
https://github.com/paulnorthrop/profileci
Profiling a Log-Likelihood to Calculate a Confidence Interval
confidence-interval confidence-intervals likelihood-based log-likelihood log-likelihood-functions statistical-uncertainties uncertainty-estimation
Last synced: 14 Jun 2025