387 Open source projects that are alternatives of or similar to Miscellaneous R Code

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

The Trendiness of Trends

A repository for recording the machine learning code

bayesplot R package for plotting Bayesian models

rstanarm R package for Bayesian applied regression modeling

GPstuff - Gaussian process models for Bayesian analysis

shinystan R package and ShinyStan GUI

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Bindings for Bayesian TidyModels

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Matlab interface to Stan, a package for Bayesian inference

Bayesian Data Analysis demos for R

Tutorial on model assessment, model selection and inference after model selection

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Bayesian spatial analysis

CmdStanR: the R interface to CmdStan

Bayesian Generalized Linear Models with Time-Varying Coefficients

Bayesian Data Analysis demos for Python

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.

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

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Projection predictive variable selection

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

A Swift framework for working with compression, archives and containers.

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

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

🏃 Some of the python tutorial - 《Python学习笔记》

Machine learning, in numpy

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Fast & scalable MCMC for all your exoplanet needs!

Gaussian processes in TensorFlow

SharpCompress is a fully managed C# library to deal with many compression types and formats.

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Effortless ZIP Handling in Swift

Cross-platform .zip file creation

Explore high-dimensional datasets and how your algo handles specific regions.

Bayesian multi-object tracking

Gaussian Process package based on data augmentation, sparsity and natural gradients

Fast and Easy Infinite Neural Networks in Python

🙏 提供时间轴转星座|生肖工具、系统存储空间获取工具、文件大小格式化工具、获取指定文件大小工具、AES加密解码工具(支持android端平台加密解密，java端和android端相互加密解密)、SharePreference操作工具、 File文件操作工具、日期获取和计算工具、界面跳转Intent操作工具、字符串验证和数值转换操作工具、手机震动工具、系统资源操作工具、网络检测工具、 wifi操作工具、单位换算工具、zip压缩和解压操作工具、XML解析操作工具（只支持几种指定格式）、图片加载和处理工具，数据库操作（增删改查）工具、Base64编码解码工具、MD5加密工具。

a C++ library and command-line tools for Zip(Jar,Apk) file Diff & Patch; create minimal delta/differential; support Jar sign(apk v1 sign) & apk v2,v3 sign .

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Fork of SevenZip++ for modern builds.

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Pack up to 3MB of data into a tweetable PNG polyglot file.

An Android compress and extract library support popular compression format such as rar, zip

Safe reinforcement learning with stability guarantees

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

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

Laravel ZIP file content validator

Randomized Dimension Reduction Library

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

A general-purpose probabilistic programming system with programmable inference

Safe Bayesian Optimization

Code for "Effective Dimensionality Reduction for Word Embeddings".

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

🏗 Statistical models for biomolecular dynamics 🏗