tmeits Goto Github PK

2017-seminars

24516

The Dendrochronology Scripts in R

3

GPU-accelerated micromagnetic simulator

4clojure-golf

golfing solutions

99-clojure-exercises

C-99: Ninety-Nine Clojure Problems

99-r-exercises

Ninety-Nine R Exercises

advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

algorithms-clojure

8th Light University homework

ansicommonlisp-book

Implementation of some of the exercices of the book ANSI Common Lisp (Paul Graham, Prentice Hall)

ansicommonlisp-book-clojure

Implementation of some of the exercices of the ANSI Common Lisp book (Paul Graham, Prentice Hall) in Clojure

appsite

Material Design Website Template for an app's landing page, built with Project Polymer

autoencoder_evolution

Differential evolution of autoencoders in Julia

awesome-python

A curated list of awesome Python frameworks, libraries and software

bets

biome_specific_predictability

Calculating temperature and precipitation predictability at the global scale

blackboxoptim.jl

Black-box optimization for Julia (julialang.org)

brain

[UNMAINTAINED] Neural networks in JavaScript

building-shiny-apps-workflow

[WIP] Building Big Shiny Apps — A book. To be published in the R Series in 2020.

code_py

A collection of well-commented code snippets for data science

coffee-jde

A CoffeeScript implementation of a self-adaptive differential evolution

comparison-programming-languages-economics

A Comparison of Programming Languages in Economics

cputime.jl

Julia module for CPU timing

dash

Shiny dashboards

data-mining

Материалы к книге "Классификация, регрессия, и другие алгоритмы Data Mining с использованием R"

datetime-fortran

A Fortran library that provides time and date manipulation facilities.

demc.jl

Differential Evolution Markov Chain Monte Carlo Code written in julia.

dendrobox

An Interactive Tree-Ring Data Exploration Tool

differentialevolution

Julia module for differential evolution

diffevol

Different Evolution port Lazarus/FPC.

dlpython_course

Примеры для курса "Программирование глубоких нейронных сетей на Python"