1029 Open source projects that are alternatives of or similar to RepSeP

Universal markup converter

Loan Application Data Analysis

金融市场与体育彩券市场 --- 数据分析与量化交易

🔎 Open source distributed and RESTful search engine.

Introduction to Data Science with R (2017)

The newsletter theme for Ghost

seminar series on data science, reproducible science and open source by @maxheld83

Code examples for Chapter 2 of Data Wrangling with JavaScript

Flexible tables with ordered indices

Multivariate data modelling with Copulas in Python

A clean, minimalist theme featuring a light and dark mode for Ghost

🌈 A Clean And Modern Ghost Theme with Progressive Web Apps (PWA)

Short programming tutorials pertaining to data analysis.

📽 An opinionated presentation framework. Just write what you want to present and it will do the rest.

No description or website provided.

Open solution to the Google AI Object Detection Challenge 🍁

What's in your data? Extract schema, statistics and entities from datasets

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

interactive Multi Objective K-mer Analysis

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

Easy to learn Flutter(Flutter 即学即用，Flutter 速成必备)

Cookbook examples for the Insight Toolkit documented with Sphinx

in2publish Community Version

pytask is a workflow management system which facilitates reproducible data analyses.

🍳Wizardoc is a WEBAPP for managing documents and knowledge.

📊 A cookiecutter template for reveal.js presentations.

The power of Chart.js with Python

Source for all talks I've presented at various conferences

The CaSILE toolkit, a book publishing workflow employing SILE and other wizardry.

Open Source Presence Infographic of Indian Startups

Native Dask collection for awkward arrays, and the library to use it.

This repo consists of my analysis of random datasets using various statistical and visualization techniques.

#nowplaying-RS: Music Recommendation using Factorization Machines

Pandas is a powerful tool for data exploration and analysis (including timeseries).

ANTz immersive 3D data visualization engine

Repository for the slides and the code of my CppCon 2015 talks.

A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.

Python数据分析入门，数据分析师入门

🌟 HolyJS Talk: Animations in the Stateful World (How to Animate Things in React)

This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.

An experimental set of pathfinding algorithms for video games

My dataquest project solutions

An introductory workshop on pandas with notebooks and exercises for following along.

Short course on reproducible science: what, why, how

A minimal example data analysis project with the targets R package

An opinionated set of Pandoc templates and scripts for converting markdown to DOCX manuscripts that adhere to William Shunn's Proper Manuscript Format guidelines using Pandoc.

A collection of Jupyter Notebooks used in conferences or just to have some snippets.

An R Dataset Package for US Beer Statistics From TTB 🍺

A Drupal-based platform for professional publishers

Python package for canonical vine copula trees with mixed continuous and discrete marginals

A visually aesthetic portfolio theme for Ghost

code, labs and lectures for the course

a list of 100+ awesome open source android apps 📱

Project documentation including our README, contributing guidelines and more.

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

A simple and quick publishing framework utilizing Google Docs

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

convenience functions to help researchers elucidate patterns in their data

MOOSE - Platform for software and data analysis.

A complete tutorial in python for Data Analysis and Machine Learning