Jacob Quinn's repositories
AMLPipelineBase.jl
The base package for AutoMLPipeline.jl and TSML.jl
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
arrow-julia
Pure Julia implementation of the apache arrow data format (https://arrow.apache.org/)
arrow-site
Mirror of Apache Arrow site
autobahn-testsuite
Autobahn WebSocket protocol testsuite
CollegeFootballData.jl
Julia client for https://collegefootballdata.com/
CSVReader.jl
Simple CSV reader that performs well
Dagger.jl
A framework for out-of-core and parallel execution
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
FastGroupBy.jl
Some helper functions to make some group by operations on DataFrames and IndexedTables faster
FWFTables.jl
Fixed width reading and writing using the Tables interface
JDF.jl
Julia DataFrames serialization format
JSONTypeProvider.jl
An F# inspired type provider for JSON3.jl
julia-workshop
Julia workshop for Data Science
Meshes.jl
Computational geometry and meshing algorithms in Julia
MortalityTables.jl
Easily Reference and use Actuarial Mortality Tables
PopGen.jl
Population Genetics in Julia
PopGenSims.jl
Create population genetics simulations
PowerFlowData.jl
[WIP] Parser of PSS/E-format Power Flow Raw Data Files (.raw)
PSID.jl
Quickly assemble data from the Panel Study of Income Dynamics (PSID)
ReadWriteDlm2.jl
CSV IO: Read and write delimited text files with support of decimal comma, Date/Time types, Complex and Rational numbers.
Schemata.jl
Schemata for tabular data sets in Julia.
ShortStrings.jl
A fast implementation of short strings of fixed size. Great for sorting and group-by operations
SnoopCompile.jl
Making packages work faster with more extensive precompilation