745 Open source projects that are alternatives of or similar to Stability Selection

Lesson files used in the Structural Equation Modeling for Psychologists.

Glass - ISC DHCP Server Interface

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

The MATLAB toolbox for MEG, EEG and iEEG analysis

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Visualize and compare datasets, target values and associations, with one line of code.

分析文件目录，统计数据并以树形结构和图表的形式展示结果，也可以导出多种格式留存

Ruby gem for some statistical operations without any statistical language dependency

JVM-based interpreter for the R language for the statistical analysis.

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Presentation-Ready Data Summary and Analytic Result Tables

Inference case studies in knitr

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

Information Theory and Distance Quantification with R

📖 [译] scikit-learn（sklearn） 中文文档

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Machine learning, computer vision, statistics and general scientific computing for .NET

Metric learning algorithms in Python

Python package for Bayesian Machine Learning with scikit-learn API

Spark SQL index for Parquet tables

R package of data and code behind the stories and interactives at FiveThirtyEight

Repository for the OpenMx Structural Equation Modeling package

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

PostgreSQL Statistics Collector

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Yet Another LINQ to Objects for PHP [Simplified BSD]

Matlab interface to Stan, a package for Bayesian inference

A Python based monitoring and tracking tool for Plex Media Server.

Generalized linear mixed-effect model in Python

vmprof - a statistical program profiler

Parallel computing with task scheduling

A high-performance topological machine learning toolbox in Python

Porting the R code in ISL to python. Labs and exercises

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Code for polyaxon tutorials and examples

sktime companion package for deep learning based on TensorFlow

A library for machine learning research on motion capture data

A python library for Bayesian time series modeling

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

JSON Aggregation CLI

Android App 无痕迹全埋点

Better GitHub statistics images for your profile, no external server required

Multi-class confusion matrix library in Python

Fit interpretable models. Explain blackbox machine learning.

Notebooks of Python and R code which illustrates basic causal inference using simulated data

PySpark + Scikit-learn = Sparkit-learn

Machine Learning inference engine for Microcontrollers and Embedded devices

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

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Interactive SVM Explorer, using Dash and scikit-learn

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A Python module for fetching and parsing data from Quora.