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dirichlet-distribution

Here are 19 public repositories matching this topic...

initial-h / AlphaZero_Gomoku_MPI

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

algorithm tensorflow parallel deep-reinforcement-learning mcts gomoku tree-search tensorlayer alphago mpi4py dirichlet-distribution alphazero alphazero-gomoku

Updated Jan 20, 2020
Python

gburtini / Probability-Distributions-for-PHP

PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

statistics probability-distributions statistical-distributions poisson-distribution normal-distribution binomial-distribution bernoulli-distribution beta-distribution gamma-distribution t-distribution dirichlet-distribution weibull-distribution

Updated Sep 8, 2021
PHP

oveilleux / Realistic_Transductive_Few_Shot

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

class-imbalance random-distributions dirichlet-distribution few-shot transductive-learning few-shot-learning few-shot-classification neurips-2021 alpha-divergence

Updated Nov 10, 2022
Python

maiermarco / DirichletReg

r r-package dirichlet-distribution dirichlet-regression

Updated Oct 17, 2021
R

pokarats / gsdmm

Gibbs Sampling Dirichlet Multinomial Model (GSDMM) for Short-Text Clustering

topic-modeling lda unsupervised-learning dirichlet-distribution text-clustering gibbs-sampling-algorithm

Updated Mar 22, 2020
Python

Joker2770 / Z2I

The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. （最新权重在咸鱼有售）

machine-learning deep-learning pytorch mcts gomoku threadpool gamma-distribution dirichlet-distribution alphazero gomocup puct toml-config onnxruntime gomoku-ai boltzmann-distribution qpiskvork

Updated Aug 23, 2024
C++

kokikwbt / scpp

A Study on SCPP: Shared Cascade Point Process

cascade poisson-process probabilistic-models dirichlet-distribution event-prediction

Updated Nov 1, 2021
Jupyter Notebook

terra1ncognita / barycentric

Package for generalized barycentric coordinates. Useful to visualize Diriсhlet densities.

geometry polygon matplotlib barycentric-coordinates dirichlet-distribution pyhton3

Updated Jun 24, 2020
Python

sdeepaknarayanan / Dirichlet-Process-Demonstration

A demo of Dirichlet Distribution, Dirichlet Process and the Chinese Restaurant Process based GMM Clustering

gaussian-mixture-models dirichlet-process dirichlet-process-mixtures dirichlet-distribution

Updated Apr 5, 2019
Jupyter Notebook

ph-ood / post-hoc-ood

Post-hoc Out-of-Distribution Detection

pytorch ood ebm dirichlet-distribution energy-based-model out-of-distribution-detection ood-detection energy-based-deep-learning

Updated May 6, 2022
Python

SaberCali / Chinese-Restaurant-Progress-CRP-

It is about Chinese Restaurant Progress.

dirichlet-process dirichlet-distribution

Updated Oct 28, 2022
Jupyter Notebook

donlapark / Dirichlet-Mechanism

The Dirichlet Mechanism for Differentially Private KL Divergence Minimization

machine-learning naive-bayes naive-bayes-classifier naive-bayes-algorithm likelihood maximum-likelihood naive-bayes-classification differential-privacy maximum-likelihood-estimation kl-divergence dirichlet-distribution dirichlet-multinomial laplace-mechanism gaussian-mechanism

Updated Mar 27, 2023
Jupyter Notebook

nfultz / finddprior

Given box constraints, find a dirichlet prior when estimating proportions.

optimization dirichlet-distribution

Updated Apr 12, 2017
R

pokan975 / Research-Misc-Files

python gaussian-mixture-models bayesian-inference dirichlet-process dirichlet-distribution coexistence

Updated Oct 9, 2020
Python

kkdey / dash

Dirichlet adaptive shrinkage for compositional data

smoothing shrinkage-estimator compositional-statistics compositional-data dirichlet-distribution

Updated Jan 19, 2018
R

abisliouk / IE675b-machine-learning

This is a repository with the assignments of IE675b Machine Learning course at University of Mannheim.

cross-validation naive-bayes-classifier multinomial-naive-bayes map-estimation dirichlet-distribution

Updated Nov 2, 2024
Jupyter Notebook

animesharma / NaiveBayes-MAP-MLE

Categorial Naive Bayes MLE and MAP Estimators for EMNIST dataset

map machine-learning naive-bayes maximum-likelihood-estimation maximum-a-posteriori-estimation beta-distribution dirichlet-distribution mle categorical-naive-bayes

Updated Oct 23, 2022
Jupyter Notebook

bertcarnell / dirichlet

An R package for the Dirichlet distribution

r dirichlet-distribution

Updated May 7, 2021
R

Ramseths / nsf_research_awards

NSF Research Awards Abstracts Welcome to the NSF Research Awards Abstracts project! 🎉 This repository contains my solution for clustering abstracts into topics based on their semantic similarity using unsupervised learning techniques.

python natural-language-processing scikit-learn cookiecutter embeddings artificial-intelligence hydra nsf lda-model dirichlet-distribution sentence-transformers

Updated Jul 22, 2024
Jupyter Notebook

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