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Name: GapData Institute

Type: Organization

Bio: Data. Think. Change. || GapData Institute (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good.

Location: Bratislava, Slovakia

Blog: https://www.gapdata.org/

GapData Institute's Projects

awesome-jupyter icon awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-pandas icon awesome-pandas

A collection of resources for pandas (Python) and related subjects.

awesome-public-datasets icon awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

awesome-r-organizations icon awesome-r-organizations

A community curated list of awesome companies/organizations that contribute open source R software/packages

awesome-rl-nlp icon awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

axisarrays.jl icon axisarrays.jl

Performant arrays where each dimension can have a named axis with values

azurenotebooks icon azurenotebooks

Repo for tracking issues and hosting samples for Azure Notebooks

azuresmr icon azuresmr

R Package for managing a selection of Azure resources. Targeted at Data Scientists who need to control Azure Resources without needing to both Administrators. APIs include Storage Blobs, HDInsight(Nodes, Hive, Spark), ARM, VMs

bad-data-guide icon bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

baize-chatbot icon baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

bakeryjs icon bakeryjs

Dataprocessing framework for JavaScript 🎂

bap icon bap

Bayesian Analysis with Python (Second Edition)

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