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26 search results found
Spearmint
⭐
1,310
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
Probreg
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670
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Bandits
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472
Python library for Multi-Armed Bandits
Simple
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432
Experimental Global Optimization Algorithm
Btcpredictor
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269
Bitcoin price prediction algorithm using bayesian regression techniques
Stein Variational Gradient Descent
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261
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Pilco
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213
Bayesian Reinforcement Learning in Tensorflow
Optimviz
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119
Visualize optimization algorithms in MATLAB.
Data_sciences_campaign
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96
【数据科学家系列课程】
Trueskill
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72
a ruby gem that implements the trueskill algorithm
Cogaps
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53
Bayesian MCMC matrix factorization algorithm
Bocs
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41
Bayesian Optimization of Combinatorial Structures
Probpy
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40
Probabilistic Calculus
Causal Learner
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37
Bayesian Optimisation
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36
Finding the best parameters for any algorithm
Sg_mcmc
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31
Implementation of Stochastic Gradient MCMC algorithms
Vanilla Machine Learning
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30
vanilla machine learning
Bocd
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29
Bayesian Online Changepoint Detection
Risknetwork
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28
Risk Network Modeling and Analysis
Machine Learning Bayesian Algorithm Packet Inspection Webshell Discover
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28
机器学习流量检测webshell-基于深度包检测技术和贝叶斯算法的webshell检查程序
Bayesian Multivariate Time Series Causal Inference
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26
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
Gryffin
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21
Hawkesprocesses.jl
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20
MCMC Inference for a Hawkes process in Julia
Models By Example
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19
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Bn4r
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19
Bayesian networks for Ruby
Bsbl Fm
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18
A fast implementation of the Block Sparse Bayesian Learning algorithm
Bayesnas
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16
Bayesian_network
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14
A Bayesian Method for the Induction of Probalistic Networks from Data
Hesbo
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14
The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces
Text Classification
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11
Text Classification engine using several algorithms in machine learning
Bhc
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9
Python implementation of Bayesian hierarchical clustering and Bayesian rose trees algorithms.
Twitter Rumor Spreader
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9
Twitter Rumor Spreader
Crema
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9
Crema: Credal Models Algorithms
Banrinochoujou
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9
これは 万里の長城 です〜
Domain_adaptation_of_linear_classifiers
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8
Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)
Kgb Dmoea
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8
A Python implementation of the Knowledge Guided Bayesian Dynamic Multi-Objective Evolutionary Algorithm (KGB-DMOEA)
Scalable Variational Bayesian Factorization Machine
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8
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
Stat_comp_benchmarks
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7
Benchmark Models for Evaluating Algorithm Accuracy
Lowrankdpp.jl
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7
Julia implementation of low-rank determinantal point process (DPP) learning and prediction algorithms.
Machinelearningalgos
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7
Personal reimplementation of some ML algorithms for learning purposes
Bemkl
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7
Bayesian Efficient Multiple Kernel Learning
Sbdcl
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7
The Sparse Bayesian based joint Discriminative Dictionary and Classifier Learning algorithm
Hydra
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7
Software for performing Bayesian penalized regression for complex trait analysis using hybrid-parallel algorithms.
Baralgorithm
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6
Bayesian Aerosol Retrieval algorithm
Dpmclust
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6
Bayesian nonparametric clustering in R using DP-means
Bayesnetinference
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6
Python implementation of variable enumeration and variable elimination algorithms for exact inference in probabilistic Bayesian networks.
Pymc Advi Hmc Demo
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5
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.
Pareben
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5
Parallel Implementations of the Empirical Bayesian Elastic Net Cross-Validation in R
Gp Optimization Matlab
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5
MATLAB implementation of my Bayesian Optimization algorithms
Pivmet
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5
R pivmet package for pivotal relabelling and MUSKmeans
Urlearning Cpp
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5
This c++ project implements a number of algorithms for learning Bayesian network structures using state space search techniques.
Probability_trees
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5
Improved B Rvfl Nets
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5
This project presents a complete Bayesian framework combined with the Random vector function-link nets (RVFL) algorithm for complicated data modeling, where we add the prior distribution both on the combination weights and the parameters of the basic functions.
Gp Optimization Python
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5
Implementation of my Bayesian Optimization algorithms
Pydlm Lite
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5
The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
Bpmf.jl
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5
A Julia package for bayesian probabilistic matrix factorization (BPMF).
Ccdralgorithm
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5
Structure learning for Bayesian networks using the CCDr algorithm.
Bayesian_retro
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5
A bayesian retrosynthesis algorithm
Psc Detection Dist
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5
Distribution of code implementing the Bayesian PSC detection algorithm described in Merel et al, J. Neuro. Meths., 2016.
Code Paper Recurrent
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5
Currently, there are some MATLAB scripe in the folder, but i will implement the C++ code with opencv/eigen library
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1-26 of 26 search results
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