data-analysis.md

July 15, 2021 ยท View on GitHub

Bookmarks tagged [data-analysis]

www.codever.land/bookmarks/t/data-analysis

assocentity

https://github.com/ndabAP/assocentity

Package assocentity returns the average distance from words to a given entity.

bradleyterry

https://github.com/seanhagen/bradleyterry

Provides a Bradley-Terry Model for pairwise comparisons.

chart

https://github.com/vdobler/chart

Simple Chart Plotting library for Go. Supports many graphs types.

dataframe-go

https://github.com/rocketlaunchr/dataframe-go

Dataframes for Go for machine-learning and statistics (similar to pandas).

evaler

https://github.com/soniah/evaler

Simple floating point arithmetic expression evaluator.

ewma

https://github.com/VividCortex/ewma

Exponentially-weighted moving averages.

geom

https://github.com/skelterjohn/geom

2D geometry for golang.

go-dsp

https://github.com/mjibson/go-dsp

Digital Signal Processing for Go.

go-fn

https://github.com/ematvey/go-fn

Mathematical functions written in Go language, that are not covered by math pkg.

go-gt

https://github.com/ThePaw/go-gt

Graph theory algorithms written in "Go" language.

gocomplex

https://github.com/varver/gocomplex

Complex number library for the Go programming language.

goent

https://github.com/kzahedi/goent

GO Implementation of Entropy Measures.

gohistogram

https://github.com/VividCortex/gohistogram

Approximate histograms for data streams.

gonum

https://github.com/gonum/gonum

Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more.

gonum/plot

https://github.com/gonum/plot

gonum/plot provides an API for building and drawing plots in Go.

goraph

https://github.com/gyuho/goraph

Pure Go graph theory library(data structure, algorith visualization).

gosl

https://github.com/cpmech/gosl

Go scientific library for linear algebra, FFT, geometry, NURBS, numerical methods, probabilities, optimisation, differential equations, and more.

GoStats

https://github.com/OGFris/GoStats

GoStats is an Open Source GoLang library for math statistics mostly used in Machine Learning domains, it covers most of the Statistical measures functions.

graph

https://github.com/yourbasic/graph

Library of basic graph algorithms.

ode

https://github.com/ChristopherRabotin/ode

Ordinary differential equation (ODE) solver which supports extended states and channel-based iteration stop conditions.

orb

https://github.com/paulmach/orb

2D geometry types with clipping, GeoJSON and Mapbox Vector Tile support.

pagerank

https://github.com/alixaxel/pagerank

Weighted PageRank algorithm implemented in Go.

piecewiselinear

https://github.com/sgreben/piecewiselinear

Tiny linear interpolation library.

PiHex

https://github.com/claygod/PiHex

Implementation of the "Bailey-Borwein-Plouffe" algorithm for the hexadecimal number Pi.

rootfinding

https://github.com/khezen/rootfinding

root-finding algorithms library for finding roots of quadratic functions.

sparse

https://github.com/james-bowman/sparse

Go Sparse matrix formats for linear algebra supporting scientific and machine learning applications, compatible with gonum matrix libraries.

stats

https://github.com/montanaflynn/stats

Statistics package with common functions missing from the Golang standard library.

streamtools

https://github.com/nytlabs/streamtools

general purpose, graphical tool for dealing with streams of data.

TextRank

https://github.com/DavidBelicza/TextRank

TextRank implementation in Golang with extendable features (summarization, weighting, phrase extraction) and multithreading (goroutine) support.

triangolatte

https://github.com/tchayen/triangolatte

2D triangulation library. Allows translating lines and polygons (both based on points) to the language of GPUs.

Blaze

https://github.com/blaze/blaze

NumPy and Pandas interface to Big Data.

Open Mining

https://github.com/mining/mining

Business Intelligence (BI) in Pandas interface.

Orange

https://orange.biolab.si/

Data mining, data visualization, analysis and machine learning through visual programming or scripts.

Pandas

http://pandas.pydata.org/

A library providing high-performance, easy-to-use data structures and data analysis tools.

Optimus

https://github.com/ironmussa/Optimus

Cleansing, pre-processing, feature engineering, exploratory data analysis and easy Machine Learning with a PySpark backend.