213 Open source projects that are alternatives of or similar to binary.com-interview-question

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

CmdStanR: the R interface to CmdStan

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

Bayesian Data Analysis demos for R

Multi-core BUGS for fast Bayesian inference of large hierarchical models

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

The posterior R package

No description or website provided.

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Latent Dirichlet Allocation

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Full Bayesian Inference for Hidden Markov Models

Bayesian Data Analysis demos for Python

bayesplot R package for plotting Bayesian models

BAS R package https://merliseclyde.github.io/BAS/

Collection of probabilistic models and inference algorithms

GPstuff - Gaussian process models for Bayesian analysis

Bayesian Generalized Linear Models with Time-Varying Coefficients

shinystan R package and ShinyStan GUI

A common framework for implementing and using log densities for inference.

Implementing MCMC sampling from scratch in R for various Bayesian models

High-performance Bayesian Data Analysis on the GPU in Clojure

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

flūmine - Betting trading framework

An interactive online reading of McElreath's Statistical Rethinking

A general-purpose probabilistic programming system with programmable inference

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

VitonBet is an Android betting application that allows users to place bets on eSports events and to gamble on user created events. Casino mode also available to gamble and sending cash to other users available too.

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Materials of the Nordic Probabilistic AI School 2019.

Bayesian multi-object tracking

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Quantitative Analysis on sports betting

An R package for experimental psychologists

Implementations of the ICML 2017 paper (with Yarin Gal)

A PureScript, browser-based implementation of LDA topic modeling.

A repository for recording the machine learning code

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

Bayesian Deep Learning: A Survey

Projection predictive variable selection

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

ELFI - Engine for Likelihood-Free Inference

Matlab interface to Stan, a package for Bayesian inference

Seminars DeepBayes Summer School 2018

Statistical Rethinking course in pymc3

ARMA-GARCH

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

C++ template library for probabilistic programming

Deep universal probabilistic programming with Python and PyTorch

Bayesian optimization for Python

A high-level Bayesian analysis API written in Python

Gauss Naive Bayes in Python From Scratch.

A python package for scraping oddsportal.com

🔗 Methods for Correlation Analysis

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Bayesian Changepoint Detection

How to do Bayesian statistical modelling using numpy and PyMC3

Single-cell copy number calling and event history reconstruction.