This is your work, valued

Melbourne, Australia

evalparse

Expert
@xiaodaigh

Machine Learning developer - Julia enthusiast - makes the most popular medium-data tool in R {diskframe.com}

JDF.jl. Julia DataFrames serialization format

94

JLBoost.jl. A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

75

TableScraper.jl. Scrape WELL-FORMED tables from webpages

30

SortingLab.jl. Faster sorting algorithms (sort and sortperm) for Julia

24

awesome-eda. Awesome Exploratory Data Analysis (EDA)

24

DataConvenience.jl. Convenience functions missing in Julia

24

awesome-julia-performance. Packages and other resourced designed to make things run fast in Julia

24

TidyStanza.jl. Attempting to implement some {tidyverse} APIs in Julia

20

FstFileFormat.jl. Julia bindings for the fst format

19

julia-data-science-base-docker-img. Julia Data Science Docker with data science packages compiled for instant loading!

13

awesome-data-science-notebook-engines. A collection of Data Science focused notebook engines

12

sas7bdat-resources. A list of publicly available resources regarding the SAS7BDAT file format

11

JLBoostMLJ.jl. MLJ.jl interface for JLBoost.jl

9

PkgVersionHelper.jl. Julia

9

FastGroupBy.jl. Some helper functions to make some group by operations on DataFrames and IndexedTables faster

9

intro_r_data_science. evalparse.io (http://evalparse.io) - practical introduction to the R language with RStudio

8

Game2048.jl. GUIs for playing the game 2048 in Julia

7

teradata.dplyr. A Teradata backend for dplyr

6

awesome-shogi.

6

TraitWrappers.jl. A simple traits system where the trait-type contains the object

6

awesome-go-baduk-weiqi. Good Go/Baduk/Weiqi resources

5

data_manipulation_benchmarks. A set of data manipulation benchmarking code for Julia and R

5

awesome-ml-frameworks. Awesome (or not so) Machine Learning Frameworks

5

awesome-big-medium-data-frameworks. Not sure if they are awesome, but listing them anyway

4

gosocket. A simple toy example of goroutine-like function go.socket which allows code to be executed in a non-blocking manner on a socket server

4

Game2048Core.jl. A core engine of 2048 without visualizations

4

awesome-markdown-table-editors.

4

CuCountMap.jl. Fast `StatsBase.countmap` for small types on the GPU via CUDA.jl

3

awesome-flow. anything flow base like flow chart libraries and flow based programming stuff

3

BadukGoWeiqiTools.jl. Julia

3

Diban.jl. Dìbǎn (地板) is a Parquet reader and writer

3

CopyPathWithBackslashQuotes. Copy paths with backslashes and quotes (F3)

2

RobustDataPipelines.jl. Easy-to-use and production-worthy data pipeline in Julia

2

awesome-financial-crisis.

2

retcred. R package: Retail Credit Risk

2

data-science-channel. https://www.youtube.com/playlist?list=UUKxHtRdtFEPihEjTtjG8Y8w&playnext=1&index=1

2

ProjectEulerUtil.jl. Utility functions for Project Euler

2

awesome-julia-desktop-app-makers. A list of possible ways to make desktop apps in Julia

1

awesome-stuff. things I find awesome and why

1

awesome-visual-flow-data-science. Data Science tools that have a visualized flow-chart-like interface

1

awesome-2048. 2048 resources

1

Game2048Experiments.jl. Julia

1

SimpleSudoku.jl. Simple Sudoku solver. Nothing more, nothing less.

1

Fread.jl. Using R's {data.table}'s excellent `fread` in Julia

1

csv-to-parquet. A CSV to parquet executable that can process data in chunks allowing are very large to CSVs to be converted to parquet

1

FireFlower.jl. A data and data frames manipulation framework that is distributable

1

shinyalert-example. A simple shiny alert example

1

intro_to_julia. Julia

1

julia-book-project. Trying to write a book about Julia

1