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GitHub topics: dirichlet-distribution

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)

Language: C++ - Size: 253 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0

initial-h/AlphaZero_Gomoku_MPI

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

Language: Python - Size: 28 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 197 - Forks: 45

abisliouk/IE675b-machine-learning

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

Language: Jupyter Notebook - Size: 60.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

gburtini/Probability-Distributions-for-PHP

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

Language: PHP - Size: 182 KB - Last synced at: 1 day ago - Pushed at: almost 4 years ago - Stars: 59 - Forks: 18

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.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

maiermarco/DirichletReg

Language: R - Size: 1.15 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 1

donlapark/Dirichlet-Mechanism

The Dirichlet Mechanism for Differentially Private KL Divergence Minimization

Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sdeepaknarayanan/Dirichlet-Process-Demonstration

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

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

oveilleux/Realistic_Transductive_Few_Shot

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

Language: Python - Size: 5.88 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 2

kkdey/dash 📦

Dirichlet adaptive shrinkage for compositional data

Language: R - Size: 5.6 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

pokarats/gsdmm

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

Language: Python - Size: 4.51 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

animesharma/NaiveBayes-MAP-MLE

Categorial Naive Bayes MLE and MAP Estimators for EMNIST dataset

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

kokikwbt/scpp

A Study on SCPP: Shared Cascade Point Process

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

bertcarnell/dirichlet

An R package for the Dirichlet distribution

Language: R - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

nfultz/finddprior

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

Language: R - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 0

Related Keywords
dirichlet-distribution 15 machine-learning 3 maximum-likelihood-estimation 2 naive-bayes 2 beta-distribution 2 r 2 mcts 2 naive-bayes-classifier 2 gomoku 2 gamma-distribution 2 alphazero 2 gaussian-mixture-models 1 dirichlet-process-mixtures 1 dirichlet-process 1 naive-bayes-classification 1 alpha-divergence 1 naive-bayes-algorithm 1 class-imbalance 1 maximum-likelihood 1 likelihood 1 laplace-mechanism 1 kl-divergence 1 gaussian-mechanism 1 dirichlet-multinomial 1 differential-privacy 1 r-package 1 dirichlet-regression 1 sentence-transformers 1 scikit-learn 1 l2-regularization 1 optimization 1 probabilistic-models 1 poisson-process 1 event-prediction 1 cascade 1 mle 1 maximum-a-posteriori-estimation 1 map 1 categorical-naive-bayes 1 unsupervised-learning 1 topic-modeling 1 text-clustering 1 lda 1 gibbs-sampling-algorithm 1 smoothing 1 shrinkage-estimator 1 compositional-statistics 1 compositional-data 1 transductive-learning 1 random-distributions 1 neurips-2021 1 few-shot-learning 1 few-shot-classification 1 few-shot 1 gradient-descent 1 gaussian-prior 1 cross-validation 1 tree-search 1 tensorlayer 1 tensorflow 1 parallel 1 mpi4py 1 deep-reinforcement-learning 1 alphazero-gomoku 1 alphago 1 algorithm 1 toml-config 1 threadpool 1 qpiskvork 1 pytorch 1 puct 1 onnxruntime 1 gomoku-ai 1 gomocup 1 deep-learning 1 boltzmann-distribution 1 python 1 nsf 1 natural-language-processing 1 lda-model 1 hydra 1 embeddings 1 cookiecutter 1 artificial-intelligence 1 weibull-distribution 1 t-distribution 1 statistics 1 statistical-distributions 1 probability-distributions 1 poisson-distribution 1 normal-distribution 1 binomial-distribution 1 bernoulli-distribution 1 stochastic-gradient-descent 1 normalization 1 multinomial-naive-bayes 1 mle-estimation 1 map-estimation 1 logistic-regression 1