GitHub topics: log-likelihood
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)
Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 14 - Forks: 4
aalok-sathe/surprisal
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
Language: Python - Size: 888 KB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 38 - Forks: 9
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
Language: R - Size: 21.8 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 58 - Forks: 15
acerbilab/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Language: MATLAB - Size: 4.42 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 251 - Forks: 39
ErikssonWilliam/Financial-Risk-Management
Estimation and forecasting of volatility using financial timeseries. Includes models like GARCH, EWMA, EqWMA and Rolling Window. Portfolio management using CVaR, EVT and Monte Carlo Simulation.
Language: MATLAB - Size: 1.27 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
acerbilab/pybads
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
Language: Python - Size: 8.72 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 72 - Forks: 3
pngo1997/Neural-Network-Implementation-Evaluation
Implements the NNDL book's "network.py" code (Chapter 1) to improve its functionality and performance.
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acerbilab/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
Language: MATLAB - Size: 78.1 KB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 3
PolyChord/PolyChordLite
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Language: Fortran - Size: 1.48 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 86 - Forks: 28
JuliaMath/DensityInterface.jl
Interface for mathematical/statistical densities in Julia
Language: Julia - Size: 423 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 12 - Forks: 3
AstraZeneca/DiffAbXL
The official implementation of DiffAbXL benchmarked in the paper "Benchmarking Generative Models for Antibody Design".
Language: Python - Size: 362 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 21 - Forks: 2
lacerbi/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
Size: 1.95 KB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
paulnorthrop/lite
Likelihood-Based Inference for Time Series Extremes
Language: R - Size: 4.53 MB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0
acerbilab/pyibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
Language: Jupyter Notebook - Size: 938 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
MushtabaA/ENCM509-Labs
Fundamentals of Biometric Systems Design Assignments
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paulnorthrop/smovie
Some movies to teach statistical concepts
Language: R - Size: 3.05 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
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
Language: Python - Size: 582 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
gbroques/naive-bayes
A Python implementation of Naive Bayes from scratch.
Language: Python - Size: 61.5 KB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 36 - Forks: 27
bcbi/MaximumLikelihoodProblems.jl
Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)
Language: Julia - Size: 276 KB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
ferdiUP/machine-learning
Classical ML algorithms implementation.
Language: R - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
petermchale/pong_RL
Training a simple AI using the policy-gradient approach to Reinforcement Learning.
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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
Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
369geofreeman/Ornstein_Uhlenbeck_Model
A log likelihood process for optimal entry / exit / stopping.
Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
leyresv/ML_algorithms_from_scratch
Machine Learning algorithms implemented from scratch
Language: Python - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
TomMakesThings/Phylogenetic-Tree-Inference
Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm
Language: Jupyter Notebook - Size: 571 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
lacerbi/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
Size: 3.91 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
mustafa1728/Robot_Localization Fork of tamajit-banerjee/Robot_Localization
Robot Localization using Hidden Markov Model
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tamajit-banerjee/Robot_Localization
Robot Localization using Hidden Markov Model
Language: Python - Size: 4.3 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
sichkar-valentyn/Logistic_Regression
Implementing Logistic Regression for the Image Recognition task
Size: 325 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
sagarmk/Logistic-regression-from-scratch
Building Logistic Regression from scratch
Language: Python - Size: 470 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 6
markjolah/PriorHessian
Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions
Language: C++ - Size: 17.4 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
RaczeQ/naive-bayes-classifier
A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes
Language: Python - Size: 49.8 KB - Last synced at: 17 days ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
Vvkmnn/introDL
An introductory neural network.
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
