log-likelihood

There are 0 repository under log-likelihood topic.

acerbilab / bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
optimization-algorithms bayesian-optimization log-likelihood noiseless-functions noisy-functions matlab
Language:MATLAB 260
PolyChord / PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
bayesian-inference nested-sampling astronomy cosmology particle-physics sampling-methods statistics polychord log-likelihood mpi posterior openmpi gfortran
Language:Fortran 93
AstraZeneca / DiffAbXL
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
antibody-design binding-affinity diffusion-models generative-ai graph-neural-networks in-silico-design llm-models log-likelihood
Language:Python 86
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
Language:Python 79
logitr
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
logit multinomial-regression logit-model r log-likelihood mixed-logit mxl mxl-models wtp willingness-to-pay preferences mlogit preference-space rstats rstats-package
Language:R 56
aalok-sathe / surprisal
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
gpt language-modeling large-language-models log-likelihood next-word-prediction surprisal
Language:Python 43
gbroques / naive-bayes
A Python implementation of Naive Bayes from scratch.
naive-bayes-classifier naive-bayes naive-bayes-algorithm naive-bayes-classification naivebayes naive naive-bayes-implementation naive-algorithm naive-bayes-tutorial python python3 laplace-smoothing classification data-mining data-mining-algorithms log-likelihood maximum-likelihood-estimation maximum-a-posteriori-estimation
Language:Python 40
acerbilab / ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
log-likelihood likelihood-free sampling simulation-model matlab
Language:MATLAB 32
369geofreeman / Ornstein_Uhlenbeck_Model
A log likelihood process for optimal entry / exit / stopping.
log-likelihood optimal-stopping quantative-trading trading-algorithms
Language:Jupyter Notebook 14
dr-mushtaq / 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)
laplacian-smoothing supervised-ml log-likelihood machine-learning natural-language-processing nlp vector-space-models word-by-word word-by-document-desing sentiment-analysis naive-bayes logistic-regression euclidean-distance cosine-similarity pca hash-table k-nearest-neighbors locality-sensitive-hashing edit-distance minimum-edit-distance
Language:Jupyter Notebook 14
JuliaMath / DensityInterface.jl
Interface for mathematical/statistical densities in Julia
julia densities measures distributions likelihood log-likelihood log-density
Language:Julia 12
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
5
acerbilab / pyibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
log-likelihood python likelihood-free sampling simulation-model
Language:Jupyter Notebook 4
paulnorthrop / lite
Likelihood-Based Inference for Time Series Extremes
extremes clustered time-series extremal-index extreme-value-statistics threshold likelihood log-likelihood inference frequentist generalised-pareto
Language:R 3
TomMakesThings / Phylogenetic-Tree-Inference
Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm
acyclic-graphs dna evolution felsenstein jukes-cantor jupyter-notebook log-likelihood nucleotides phylogentic-tree bioinformatics
Language:Jupyter Notebook 3
bcbi / MaximumLikelihoodProblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
maximum-likelihood maximum-likelihood-problems maximum-likelihood-estimation likelihood likelihood-functions log-likelihood log-likelihood-functions statistics statistical-inference
Language:Julia 1
markjolah / PriorHessian
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
log-likelihood prior
Language:C++ 1
mustafa1728 / Robot_Localization
Robot Localization using Hidden Markov Model
artificial-intelligence estimation hmm hmm-model hmm-viterbi-algorithm localisation log-likelihood most-likely-path sensors
Language:Python 1
paulnorthrop / smovie
Some movies to teach statistical concepts
statistical-concepts movie log-likelihood test-statistic extremes central-limit-theorem teaching teaching-materials statistics statistics-learning regression linear-regression likelihood-ratio-test score-test wald-test hypothesis-testing extremal-types-theorem probability-distributions correlation-coefficient
Language:R 1
sichkar-valentyn / Logistic_Regression
Implementing Logistic Regression for the Image Recognition task
logistic-regression logistic-regression-algorithm log-likelihood
1
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.
acf pacf box-cox log-likelihood stl dickey-fuller time-series sarima arima
Language:R 0
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
gradient-descent log-likelihood logistic-regression r
0
ciCciC / dsclassifyingmusicgenre
Classifying certain music genre and others utilizing Log-likelihood Ratio and Logistic Regression
classification data-science log-likelihood logistic-regression music
Language:Jupyter Notebook 0
ErikssonWilliam / Financial-Risk-Management
Estimation and forecasting of volatility using Financial Timeseries with Copulas. Includes models like GARCH, EWMA and EqWMA. Market risk management using CVaR, EVT, Risk Factors and Monte Carlo Simulation.
copulas ewma garch-models kurtosis log-likelihood skewness time-series volatility-modeling conditional-value-at-risk extreme-value-theory monte-carlo-simulation risk-factors taylor-expansion
Language:MATLAB 0
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
Language:Python 0
leyresv / ML_algorithms_from_scratch
Machine Learning algorithms implemented from scratch
ml-algorithms nlp nlp-machine-learning logistic-regression naive-bayes-algorithm log-likelihood log-loss machine-learning
Language:Python 0
MushtabaA / ENCM509-Labs
Fundamentals of Biometric Systems Design Assignments
statistical-analysis em-algorithm feature-extraction segmentation bayesian-networks conditional-probability de-noising face-recognition fingerprint gabor-filter guassian-mixture-model hand-gesture-recognition log-likelihood long-short-term-memory pre-processing principal-component-analysis pyagrum wiener-filter
Language:Jupyter Notebook 0
petermchale / pong_RL
Training a simple AI using the policy-gradient approach to Reinforcement Learning.
artificial-intelligence back-propagation log-likelihood neural-network openai-gym policy-gradient pong reinforcement-learning-algorithms
Language:Jupyter Notebook 0
SimonVaughanDataAndCode / gin
Gaussian Process Inference
gaussian-processes time-series reconstruction interpolation power-spectrum autocorrelation irregular-sampling acv log-likelihood
Language:R 0
tamajit-banerjee / Robot_Localization
Robot Localization using Hidden Markov Model
artificial-intelligence estimation hmm hmm-model hmm-viterbi-algorithm localisation log-likelihood most-likely-path sensors
Language:Python 0
lacerbi / ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
likelihood-free log-likelihood matlab pyhton sampling simulation-model
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
Language:Jupyter Notebook
RaczeQ / naive-bayes-classifier
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
naive-bayes-classifier naive-bayes naive-bayes-algorithm naive-bayes-classification naivebayes naive-bayes-implementation naive python python3 python-3 classification data-mining data-mining-algorithms log-likelihood maximum-likelihood-estimation maximum-a-posteriori-estimation
Language:Python
sagarmk / Logistic-regression-from-scratch
Building Logistic Regression from scratch
log-likelihood logistic-regression
Language:Python
Vvkmnn / introDL
An introductory neural network.
artificial-neural-networks log-likelihood neural-network tensorflow
Language:Jupyter Notebook

log-likelihood

acerbilab / bads

PolyChord / PolyChordLite

AstraZeneca / DiffAbXL

acerbilab / pybads

jhelvy / logitr

aalok-sathe / surprisal

gbroques / naive-bayes

acerbilab / ibs

369geofreeman / Ornstein_Uhlenbeck_Model

dr-mushtaq / Natural-language-processing

JuliaMath / DensityInterface.jl

lacerbi / bads

acerbilab / pyibs

paulnorthrop / lite

TomMakesThings / Phylogenetic-Tree-Inference

bcbi / MaximumLikelihoodProblems.jl

markjolah / PriorHessian

mustafa1728 / Robot_Localization

paulnorthrop / smovie

sichkar-valentyn / Logistic_Regression

apogosyan323 / TimeSeries-Government-Employment

AzitaKalantar / Logistic-regression-and-Gradient-descent-

ciCciC / dsclassifyingmusicgenre

ErikssonWilliam / Financial-Risk-Management

Hermann-web / some-common-statistical-methods

leyresv / ML_algorithms_from_scratch

MushtabaA / ENCM509-Labs

petermchale / pong_RL

SimonVaughanDataAndCode / gin

tamajit-banerjee / Robot_Localization

lacerbi / ibs

pngo1997 / Neural-Network-Implementation-Evaluation

RaczeQ / naive-bayes-classifier

sagarmk / Logistic-regression-from-scratch

Vvkmnn / introDL