All Projects → awesomedata → Awesome Public Datasets

awesomedata / Awesome Public Datasets

Licence: mit
A topic-centric list of HQ open datasets.

Projects that are alternatives of or similar to Awesome Public Datasets

covid19-datasets
A list of high quality open datasets for COVID-19 data analysis
Stars: ✭ 56 (-99.88%)
Mutual labels:  opendata, datasets
Openml
Open Machine Learning
Stars: ✭ 489 (-98.96%)
Mutual labels:  opendata, datasets
Openml R
R package to interface with OpenML
Stars: ✭ 81 (-99.83%)
Mutual labels:  opendata, datasets
Eleicoes Brasil
Scripts para capturar dados do Repositório de Dados Eleitorais do TSE, limpá-los, normalizá-los e agrupá-los
Stars: ✭ 85 (-99.82%)
Mutual labels:  opendata
Lib.reviews
A free/libre code and information platform for reviews of anything
Stars: ✭ 90 (-99.81%)
Mutual labels:  opendata
Doppelganger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-99.79%)
Mutual labels:  datasets
Nlu datasets with task oriented dialogue
datasets of natural language understanding and dialogue state tracking
Stars: ✭ 104 (-99.78%)
Mutual labels:  datasets
Dareblopy
Data Reading Blocks for Python
Stars: ✭ 82 (-99.82%)
Mutual labels:  datasets
Transitland Datastore
Transitland's centralized web service API for both querying and editing aggregated transit data from around the world
Stars: ✭ 101 (-99.78%)
Mutual labels:  datasets
Nottingham Dataset
Cleaned version of the Nottingham dataset
Stars: ✭ 94 (-99.8%)
Mutual labels:  datasets
Covid19 Sir
COVID-19 SIR model estimation
Stars: ✭ 94 (-99.8%)
Mutual labels:  opendata
Irail
iRail API / scraper
Stars: ✭ 91 (-99.81%)
Mutual labels:  opendata
Exposure correction
Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.
Stars: ✭ 98 (-99.79%)
Mutual labels:  datasets
Opendefinition
Open Definition source
Stars: ✭ 87 (-99.81%)
Mutual labels:  opendata
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (-97.06%)
Mutual labels:  datasets
Coronabr
Série histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde
Stars: ✭ 83 (-99.82%)
Mutual labels:  opendata
Finmind
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/
Stars: ✭ 1,357 (-97.1%)
Mutual labels:  opendata
Hlidacstatu
Kompletní zdrojový kód pro web hlidacstatu.cz, související knihovny. Pomožte nám rozvíjet a vylepšovat jeden z největších a nejdůležitějších serverů pro transparentnost státu v ČR.
Stars: ✭ 93 (-99.8%)
Mutual labels:  opendata
Archeo Lex
Pure Histoire de la Loi française – Git + Markdown
Stars: ✭ 92 (-99.8%)
Mutual labels:  opendata
Persian Swear Words
دیتاست کلمات نامناسب و بد فارسی برای فیلتر کردن متن ها
Stars: ✭ 95 (-99.8%)
Mutual labels:  datasets

Awesome Public Datasets

Awesome

NOTICE: This repo is automatically generated by apd-core. Please DO NOT modify this file directly. We have provided a new way to contribute to Awesome Public Datasets. Join the slack community for more communication.

  • OK_ICON I am well.
  • FIXME_ICON Please fix me.

This list of a topic-centric public data sources in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not. Other amazingly awesome lists can be found in sindresorhus's awesome list.

Agriculture

Biology

Climate+Weather

ComplexNetworks

ComputerNetworks

CyberSecurity

DataChallenges

EarthScience

Economics

Education

Energy

Entertainment

Finance

GIS

Government

Healthcare

ImageProcessing

MachineLearning

Museums

NaturalLanguage

Neuroscience

Physics

ProstateCancer

Psychology+Cognition

PublicDomains

SearchEngines

SocialNetworks

SocialSciences

Software

Sports

TimeSeries

Transportation

eSports

Complementary Collections

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].