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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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*[Rules and Similarity in Concept Learning](http://web.mit.edu/cocosci/archive/Papers/nips99preprint.pdf) - ***NeurIPS'99***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=10968021160883668417&hl=en&as_sdt=0,5)]. Unifying rule-based and similarity-based generalization via Bayesian generalization.
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*[Theory-based Bayesian models of inductive learning and reasoning](http://www.charleskemp.com/papers/TenenbaumGK06.pdf) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=6741344960992898446&hl=en&as_sdt=0,5)]. Josh Tenenbaum's review on Bayesian theory induction.
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*[Theory-based Bayesian models of inductive learning and reasoning](https://www.cell.com/AJHG/fulltext/S1364-6613(06)00134-3) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=6741344960992898446)]. [[Preprint](http://www.charleskemp.com/papers/TenenbaumGK06.pdf)]. Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional accounts of induction emphasize either the power of statistical learning, or the importance of strong constraints from structured domain knowledge, intuitive theories or schemas. This paper argues that both components are necessary to explain the nature, use and acquisition of human knowledge, and the authors introduce a theory-based Bayesian framework for modeling inductive learning and reasoning as statistical inferences over structured knowledge representations.
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*[Word learning as Bayesian inference](https://tallinzen.net/media/readings/xu_tenenbaum_2007.pdf) - ***Psychological Review***, 2007. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=5476233692839102256)]. [[APA](https://psycnet.apa.org/doiLanding?doi=10.1037%2F0033-295X.114.2.245)]. Fei Xu's review on Bayesian word learning.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-astrophotography.md
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-[Guide to Preprocessing of Raw Data With PixInsight](https://pixinsight.com/forum/index.php?threads/guide-to-preprocessing-of-raw-data-with-pixinsight.11547/) - Mistakes that happen during the pre-processing stages cannot be corrected anymore in post-processing. This guide from Bernd Landmann acquaints fellow astrophotographers with PixInsight's tools needed for recognising and avoiding such mistakes.
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-[How to Set the Correct Back Focus](https://optcorp.com/blogs/deep-sky-imaging/how-to-set-the-correct-back-focus) - An easy to follow guide on what back focus is and how to set it.
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-[Lights and Shadows](https://ciechanow.ski/lights-and-shadows/) - This interactive guide to light by Bartosz Ciechanowski, teaches about travel vectors, irradiance, radiance, angles, luminance, and more.
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-[Master PixInsight's Astrophotography Statistics: Analyze, Adjust, Enhance](https://www.kozmosi.io/articles/a-to-z-of-pixinsight-statistics-panel) - Successfully processing astronomical images entails a series of informed decisions. Understanding the data is crucial. This article provides a comprehensive guide to the Statistics process in PixInsight.
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-[Mastering Flat Frames: Gain matching](https://www.astroworldcreations.com/blog/understanding-flats-part-1-gain-matching) - This blog series by Willem Jan Drijfhout will take you on a deep dive into the topic of flat frames ([Part 2: Flat Panels compared](https://www.astroworldcreations.com/blog/understanding-flats-part-2-flat-panels-compared), and [Part 3: Bias, Flat-Darks and Conclusions](https://www.astroworldcreations.com/blog/understanding-flats-part3-conclusions)).
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-[Optical Glass Types](https://www.stellarvue.com/optical-glass-types/) - What makes a top-tier telescope? This article will clear up some common misconceptions.
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-[Selecting a Guide Scope and Autoguiding Camera for Astrophotography](https://agenaastro.com/articles/guides/selecting-a-guide-scope-and-autoguiding-camera-for-astrophotography.html) - Choosing the right autoguiding equipment can be challenging. This guide will help with making the right decision.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-cpp.md
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*[TCLAP](http://tclap.sourceforge.net) - A mature, stable and feature-rich library for defining and accessing command line arguments in ANSI C++. [MIT]
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*[termbox](https://github.com/nsf/termbox) - A C library for writing text-based user interfaces. [MIT]
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*[TermOx](https://github.com/a-n-t-h-o-n-y/TermOx) - C++17 Terminal User Interface(TUI) Library. [MIT]
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*[tuibox](https://github.com/Cubified/tuibox) - A single-header terminal UI (TUI) library, capable of creating mouse-driven, interactive applications on the command line. [MIT]
Copy file name to clipboardexpand all lines: docs/awesome/awesome-for-beginners.md
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-[chatwoot](https://github.com/chatwoot/chatwoot)_(label: good first issue)_ <br> Opensource customer support platform which can be an alternative to Intercom, Zendesk, Drift, Crisp etc.
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-[chef](https://github.com/chef/chef)_(label: Type:-Jump-In)_ <br> A systems integration framework, built to bring the benefits of configuration management to your entire infrastructure
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-[Faker](https://github.com/faker-ruby/faker)_(label: good first issue)_ <br> Faker is a Ruby library for generating fake data such as names, addresses, and phone numbers.
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-[Goby](https://github.com/nskins/goby)_(label: n/a)_ <br> Framework for developing text-RPGs.
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-[Hanami](https://github.com/hanami/hanami)_(label: easy)_ <br> A modern framework for Ruby.
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-[JRuby](https://github.com/jruby/jruby)_(label: beginner)_ <br> An implementation of Ruby on the Java Virtual Machine.
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-[mapknitter](https://github.com/publiclab/mapknitter)_(label: first-timers-only)_ <br> Upload your own aerial images, position (rubbersheet) them in a web interface over existing map data, and share via web or composite and export for print.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-neovim.md
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-[rlychrisg/truncateline.nvim](https://github.com/rlychrisg/truncateline.nvim) - Truncate long lines to keep track of where you are when the start gets lost off the left side of the screen.
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-[EL-MASTOR/bufferlist.nvim](https://github.com/EL-MASTOR/bufferlist.nvim) - A super fast, lightweight, minimal and super easy buffer manager.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-selfhosted.md
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-[Databag](https://github.com/balzack/databag) - Federated, end-to-end encrypted messaging service for the web, iOS, and Android, supporting text, photos, video, and WebRTC video and audio calls. ([Demo](https://databag.coredb.org/#/create)) `Apache-2.0``Docker`
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-[Dendrite](https://matrix-org.github.io/dendrite/) - Second-generation Matrix homeserver written in Go. It intends to provide an efficient, reliable and scalable alternative to Synapse. ([Source Code](https://github.com/matrix-org/dendrite)) `Apache-2.0``Go`
-[GlobaLeaks](https://www.globaleaks.org/) - Whistleblowing software enabling anyone to easily set up and maintain a secure reporting platform. ([Demo](https://demo.globaleaks.org), [Source Code](https://github.com/globaleaks/whistleblowing-software)) `AGPL-3.0``Python/deb/Docker`
-[Gotify](https://gotify.net/) - Self-hosted notification server with Android and CLI clients, similar to PushBullet. ([Source Code](https://github.com/gotify/server), [Clients](https://github.com/gotify/android)) `MIT``Go/Docker`
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-[Hyphanet](https://hyphanet.org/) - Anonymously share files, browse and publish _freesites_ (web sites accessible only through Hyphanet) and chat on forums. ([Source Code](https://github.com/hyphanet/fred)) `GPL-2.0``Java`
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_Related: [Groupware](#groupware)_
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-[bewCloud](https://bewcloud.com) - A simpler alternative to Nextcloud and ownCloud's RSS Reader, File Sharing + Sync, Notes, and Photos. ([Source Code](https://github.com/bewcloud/bewcloud), [Clients](https://github.com/bewcloud)) `AGPL-3.0``Docker`
-[Kinto](https://kinto.readthedocs.org) - Kinto is a minimalist JSON storage service with synchronisation and sharing abilities. ([Source Code](https://github.com/Kinto)) `Apache-2.0``Python`
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-[Nextcloud](https://nextcloud.com/) - Access and share your files, calendars, contacts, mail and [more](https://apps.nextcloud.com/) from any device, on your terms. ([Demo](https://try.nextcloud.com/), [Source Code](https://github.com/nextcloud/server)) `AGPL-3.0``PHP/deb`
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-[Meetable](https://events.indieweb.org) - A minimal events aggregator. ([Source Code](https://github.com/aaronpk/Meetable)) `MIT``PHP`
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-[Mobilizon](https://mobilizon.org) - A federated tool that helps you find, create and organise events and groups. ([Demo](https://demo.mobilizon.org/), [Source Code](https://framagit.org/framasoft/mobilizon/)) `GPL-3.0``Elixir/Docker`
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-[Open Event Server](https://github.com/fossasia/open-event-server) - Enables organizers to manage events from concerts to conferences and meet-ups. `GPL-3.0``Python/Docker`
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-[OpnForm](https://opnform.com) - Beautiful open-source form builder. ([Demo](https://opnform.com/forms/create/guest), [Source Code](https://github.com/JhumanJ/opnform)) `AGPL-3.0``PHP/Nodejs/Docker`
Copy file name to clipboardexpand all lines: docs/awesome/free-for-dev.md
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*[WebComponents.dev](https://webcomponents.dev/) — In-browser IDE to code web components in isolation with 58 templates available, supporting stories, and tests.
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*[PHPSandbox](https://phpsandbox.io/) — Online development environment for PHP
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*[WebDB](https://webdb.app) - Free Efficient Database IDE. Featuring Server Discovery, ERD, Data Generator, AI, NoSQL Structure Manager, Database Versioning and many more.
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*[Zed](https://zed.dev/) - Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Copy file name to clipboardexpand all lines: docs/awesome/urban-and-regional-planning-resources.md
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-[CDC Social Vulnerability Index](https://www.atsdr.cdc.gov/placeandhealth/svi/index.html) - CDC Social Vulnerability Index (CDC SVI) uses 15 U.S. census variables to help local officials identify communities that may need support before, during, or after disasters based on their level of social vulnerability. Additional Information: [Download](https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html).
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-[EJ Screen](https://www.epa.gov/ejscreen/understanding-ejscreen-results) - EJSCREEN uses maps and reports to present three kinds of information: Environmental indicators, demographic indicators and EJ Indexes. Additional Information: [Download](https://www.epa.gov/ejscreen/download-ejscreen-data).
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-[Extreme Heat Dashboard](https://liheap-and-extreme-heat-hhs-acf.hub.arcgis.com/) - This dashboard, developed by the U.S. Department of Health and Human Services Low Income Home Energy Assistance Program (LIHEAP) can help planners understand extreme heat and energy needs and impacts to vulnerable communities.
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-[H+T Index](https://htaindex.cnt.org/) - The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability that includes both the cost of housing and the cost of transportation at the neighborhood level. Provided by the Center for Neighborhood Technology.
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-[Location Affordability Index](https://www.hudexchange.info/programs/location-affordability-index/) - The Location Affordability Index (LAI) works to close this gap by providing estimates of household housing and transportation costs at the neighborhood level along with constituent data on the built environment and demographics.
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-[Opportunity Atlas](https://www.opportunityatlas.org/) - These [datasets provided by Opportunity Insights](https://opportunityinsights.org/data/?geographic_level=0&topic=0&paper_id=1652#resource-listing) allow you to analyze social mobility and a variety of other outcomes from life expectancy to patent rates by neighborhood, college, parental income level, and racial background.
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-[County Health Rankings](https://www.countyhealthrankings.org/) - The annual Rankings provide a revealing snapshot of how health is influenced by where we live, learn, work, and play.
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-[HealthData.gov](https://healthdata.gov/) - This site is dedicated to making high value health data in the United States more accessible to entrepreneurs, researchers, and policy makers in the hopes of better health outcomes for all.
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-[Heat and Health Tracker](https://ephtracking.cdc.gov/Applications/heatTracker/) - A resource that presents localized information on public health impacts of extreme heat that can help to better allocate resources to prepare for heat events. The tool includes heat burden data (historic heat-related illness, heat-related emergency department visits, and heat-worker health), heat exposure trends, and a spatial index tool identifying heat effects by ZIP Code Tabulation Area (ZCTA).
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-[CDC Places](https://www.cdc.gov/places/index.html) - A CDC collaboration that allows local health departments and jurisdictions regardless of population size and urban-rural status to better understand the burden and geographic distribution of health-related outcomes in their areas and assist them in planning public health interventions.
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-[USALEEP](https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html) - Estimates of life expectancy at birth—the average number of years a person can expect to live—for most of the census tracts in the United States for the period 2010-2015.
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-[WHO Data](https://www.who.int/data) - The World Health Organization's (WHO) health data collections featuring international datasets on health indicators and related data.
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### Resilience and Natural Hazards
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-[Sea Level Rise Viewer](https://coast.noaa.gov/slr/) - NOAA provided map viewer is to provide federal, state, and local coastal resource managers and planners with a preliminary look at sea level rise and coastal flooding impacts.
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-[Adaptation Clearinghouse](https://www.adaptationclearinghouse.org/) - Maintained by Georgetown's Climate Center, this is an extensive online database and networking site that serves policymakers and others who are working to help communities adapt to climate change.
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-[Community Resilience Estimates for Heat](https://www.census.gov/data/experimental-data-products/cre-heat.html) - An experimental dataset developed by the U.S. Census Bureau that measures social vulnerability and exposure to extreme heat at the household level.
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-[Earth Quake Data](https://www.ngdc.noaa.gov/hazard/earthqk.shtml) - NOAA provided data includes a global record of significant earth quakes going back to 2150 BC to present with geographic information.
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-[National Risk Index](https://www.fema.gov/flood-maps/products-tools/national-risk-index) - The National Risk Index is an online mapping application from FEMA that identifies communities most at risk to 18 natural hazards.
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-[Extreme Heat Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/disasters/extreme-heat-data-pathfinder) - A central repository hosting multiple datasets guiding users to relevant near-real-time data for extreme heat analysis and visualization based on NASA's remotely sensed data.
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-[HIFLD](https://hifld-geoplatform.opendata.arcgis.com/) - This site provides National foundation-level geospatial data within the open public domain that can be useful to support community preparedness, resiliency, research, and more.
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-[National Risk Index](https://www.fema.gov/flood-maps/products-tools/national-risk-index) - The National Risk Index is an online mapping application from FEMA that identifies
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-[RAPT](https://rapt-fema.hub.arcgis.com/pages/data) - The Resilience Analysis & Planning Tool (RAPT) gives everyone easy access to important community data and analysis tools related to community resilience. The community resilience indicators in the RAPT were pulled from the Community Resilience Indicator Analysis (CRIA).
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-[Adaptation Clearinghouse](https://www.adaptationclearinghouse.org/) - Maintained by Georgetown's Climate Center, this is an extensive online database and networking site that serves policymakers and others who are working to help communities adapt to climate change.
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-[Extreme Heat Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/disasters/extreme-heat-data-pathfinder) - A central repository hosting multiple datasets guiding users to relevant near-real-time data for extreme heat analysis and visualization based on NASA's remotely sensed data.
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communities most at risk to 18 natural hazards.
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-[Sea Level Rise Viewer](https://coast.noaa.gov/slr/) - NOAA provided map viewer is to provide federal, state, and local coastal resource managers and planners with a preliminary look at sea level rise and coastal flooding impacts.
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### Transportation
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-[Accessibility Observatory](http://access.umn.edu/data/datasets/) - As part of the Access Across America series the Accessibility Observatory at UMN evaluates multiple modes of transportation accessibility in major U.S. metropolitan areas. Reports are published annually, and select data sets are available through the University of Minnesota's Digital Conservatory.
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### Environmental
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-[EPA Data Standards](https://www.epa.gov/data-standards) - A chart with links to the diversity of data standards adopted by EPA.
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-[Extreme Heat Data Pathfinder](https://www.earthdata.nasa.gov/learn/pathfinders/disasters/extreme-heat-data-pathfinder) - Developed by NASA, this tool is a central repository hosting multiple datasets guiding users to relevant near-real-time data for planning around extreme heat.
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