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docs/awesome/awesome-agi-cocosci.md

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#### Applications in AI
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* [Functional genomic hypothesis generation and experimentation by a robot scientist](https://www.nature.com/articles/nature02236) - ***Nature***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=17461972625475533182&hl=en&as_sdt=0,5)]. A canonical application of logical abduction on biodesign.
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* [Functional genomic hypothesis generation and experimentation by a robot scientist](https://www.nature.com/articles/nature02236) - ***Nature***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=17461972625475533182)]. This paper describes a physically implemented robotic system that applies techniques from artificial intelligence to carry out cycles of scientific experimentation. The system automatically originates hypotheses to explain observations, devises experiments to test these hypotheses, physically runs the experiments using a laboratory robot, interprets the results to falsify hypotheses inconsistent with the data, and then repeats the cycle. The system is applied to the determination of gene function using deletion mutants of yeast (Saccharomyces cerevisiae) and auxotrophic growth experiments. The authors built and tested a detailed logical model (involving genes, proteins and metabolites) of the aromatic amino acid synthesis pathway.
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* [Interpretation as abduction](https://www.sciencedirect.com/science/article/abs/pii/0004370293900154?via%3Dihub) - ***Artificial Intelligence***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=12658433318211361322&hl=en&as_sdt=0,5)]. A computational account on interpretation as Abduction.
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docs/awesome/awesome-angular.md

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* [litlyx](https://github.com/Litlyx/litlyx) - The easiest dev-centric analytics tool. Litlyx is an open-source analytics solution for any JavaScript framework. Setup takes less then 30 seconds and just one line of code!
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* [plausible](https://github.com/plausible/analytics) - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Works without any extra configuration on [single page applications](https://plausible.io/docs/spa-support).
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* [@blue-cardinal/ngx-google-analytics](https://github.com/blue-cardinal/ngx-google-analytics) - This package provides a module that injects the Google Analytics tag manager script into your Angular project. It provides some guard rails against including the tag manager script in a dev environment.
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* [oculr-ngx](https://github.com/Progressive-Insurance/oculr-ngx) - An analytics library that makes collecting data in an Angular app simple.
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#### Authentication
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* [ngx-clerk](https://github.com/anagstef/ngx-clerk) - An unofficial project that aims to provide a seamless integration of [Clerk](https://clerk.com) features into Angular applications.
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* [ng-supabase](https://github.com/rustygreen/ng-supabase) - An Angular component library for your [Supabase](https://supabase.com/) project!
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* [zitadel](https://zitadel.com/docs/examples/login/angular) - Secure authentication management for your application. Customize as you grow, with easy APIs and programmable workflows. Focus on growing, your login is in good hands.
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* [appwrite](https://github.com/appwrite/appwrite) - Using Appwrite, you can easily integrate your [Angular app](https://appwrite.io/docs/quick-starts/angular) with user authentication and multiple sign-in methods, a database for storing and querying users and team data, storage and file management, image manipulation, cloud functions, and more services.
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#### Builders
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* [unovis](https://github.com/f5/unovis) - Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript.
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* [angular-google-charts](https://github.com/FERNman/angular-google-charts) - A wrapper for the Google Charts library written in Angular.
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* [ngx-flexmonster](https://github.com/flexmonster/ngx-flexmonster) - A powerful and fully customizable JavaScript component for web reporting. It is packed with all core features for data analysis and can easily become a part of your Angular data visualization project.
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* [ngx-graph](https://github.com/swimlane/ngx-graph) - Graph visualization library for Angular.
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#### Cookies
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* [dyte-io/ui-kit](https://github.com/dyte-io/ui-kit) - Dyte's UI library for creating meeting interfaces.
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* [ngx-youtube-player](https://github.com/orizens/ngx-youtube-player) - Angular component based on [YouTube player iframe API](https://developers.google.com/youtube/iframe_api_reference).
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* [ngx-videogular](https://github.com/videogular/ngx-videogular) - An HTML5 video player for Angular 2.0. Videogular is a wrapper over the HTML5 video tag, so you can just add whatever you want. This provides a very powerful, but simple to use solution, for everybody.
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* [voicecapture-angular](https://github.com/angular-a11y/voicecapture-angular) - The library offers customizable options for handling voice input and transcription, making it a flexible solution for enhancing user interfaces.
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#### Mixed utilities
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docs/awesome/awesome-astrophotography.md

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- [Autoguiding](https://astrobackyard.com/autoguiding/) - An introduction to auto-guiding.
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- [Buyer's Guide to ZWO Astronomy Cameras](https://agenaastro.com/articles/zwo-astronomy-cameras-buyers-guide.html) - ZWO has a diverse product line. This guide will help you make the right choice.
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- [Cable Management Recommendations](https://pegasusastro.com/cable-management-recommendations/) - Some solid advice on cables in an astrophotography setup.
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- [Cameras and Lenses](https://ciechanow.ski/cameras-and-lenses/) - Another interactive guide by Bartosz Ciechanowski, this time about cameras and lenses. A **must-read** for anyone interested in telescopes and photography.
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- [DeepSkyStacker vs PixInsight](https://web.archive.org/web/20230408140244/https://www.lightvortexastronomy.com/image-pre-processing-deepskystacker-vs-pixinsight.html) - A detailed comparison of the pre-processing features.
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- [Drift Alignment by Robert Vice (D.A.R.V)](https://www.cloudynights.com/articles/cat/articles/darv-drift-alignment-by-robert-vice-r2760) - Accurate alignment in just a matter of minutes.
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- [Guide Scope vs. Off-Axis Guider: Which is Better for Astrophotography?](https://optcorp.com/blogs/deep-sky-imaging/guide-scope-vs-off-axis-guider) - Compares the two guiding options in details.
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- [Guide to Focal Reducers for Astronomy](https://agenaastro.com/articles/focal-reducers-guide.html) - How focal reducers work, what types are there, and how to use them.
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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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- [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.

docs/awesome/awesome-cakephp.md

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## Help
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*Where to get help.*
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- [CakePHP-FR.org](http://cakephp-fr.org) - The french community website.
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- [Official CakePHP Forum](https://discourse.cakephp.org/) - This is for generic questions and alike.
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- [IRC Channel](https://www.dereuromark.de/2013/01/27/irc-cakephp-channel/) - Live chat/discussion with other devs and core devs.
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- [stackoverflow.com/questions/tagged/cakephp](https://stackoverflow.com/questions/tagged/cakephp) - This is for specific questions, ideally along with some example code.

docs/awesome/awesome-cli-apps.md

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- [lf](https://github.com/gokcehan/lf) - Fast, extensively customizable file manager.
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- [clifm](https://github.com/leo-arch/clifm) - The command line file manager.
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- [far2l](https://github.com/elfmz/far2l) - Orthodox file manager.
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- [yazi](https://github.com/sxyazi/yazi) - Blazing fast file manager.
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### Deleting, Copying, and Renaming
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docs/awesome/awesome-for-beginners.md

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- [script](https://github.com/bitfield/script) _(label: good-first-issue)_ <br> A Go library for doing the kind of tasks that shell scripts are good at: reading files, executing subprocesses, counting lines, matching strings, and so on. Beginners are very welcome and will get detailed code review and help through the PR process.
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- [Terraform](https://github.com/hashicorp/terraform) _(label: good-first-issue)_ <br> A tool for building, changing, and versioning infrastructure safely and efficiently.
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- [TiDB](https://github.com/pingcap/tidb) _(label: for-new-contributors)_ <br> A distributed scalable Hybrid Transactional and Analytical Processing (HTAP) database
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- [utils](https://github.com/kashifkhan0771/utils) _(label: good-first-issue)_ <br> Common Utilities library for Go
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## Haskell
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- [Fabric](https://github.com/fabric/fabric) _(label: Low-hanging-fruit)_ <br> Pythonic remote execution and deployment.
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- [H2O Wave](https://github.com/h2oai/wave) _(label: good first issue)_ <br> Realtime Web Apps and Dashboards framework for Python and R. Suited (not only) for AI audience.
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- [H2O Wave Apps](https://github.com/h2oai/wave-apps) _(label: hacktoberfest)_ <br> Sample AI Apps built with H2O Wave.
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- [Harmony](https://github.com/harmonydata/harmony) _(label: Good First Issue)_ <br> Natural language processing tool for psychologists to analyse and compare datasets with AI and LLMs.
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- [jarvis](https://github.com/sukeesh/Jarvis) _(label: difficulty/newcomer)_ <br> A personal assistant for Linux, MacOs and Windows based on Command line Interface.
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- [JARVIS-on-Messenger](https://github.com/swapagarwal/JARVIS-on-Messenger) _(label: Low-Hanging-Fruit)_ <br> 💬 A community-driven python bot that aims to be as simple as possible to serve humans with their everyday tasks http://m.me/J.A.R.V.I.S.on.Messenger
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- [Jupyter notebook](https://github.com/jupyter/notebook) _(label: good-first-issue)_ <br> Jupyter interactive notebook.
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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.
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- [Matestack](https://github.com/matestack/matestack-ui-core) _(label: good-first-issue)_ <br> Write dynamic User Interfaces in pure Ruby. Rails engine built on top of Vue.js
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- [multiwoven](https://github.com/Multiwoven/multiwoven) _(label: good-first-issue)_ <br> The open-source reverse ETL, data activation platform for modern data teams.
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- [ohai](https://github.com/chef/ohai) _(label: Type:-Jump-In)_ <br> Ohai profiles your system and emits JSON
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- [open-build-service](https://github.com/openSUSE/open-build-service) _(label: good-first-issue-:1st_place_medal:)_ <br> A generic system to build and distribute packages from sources in an automatic, consistent and reproducible way.

docs/awesome/awesome-go.md

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- [go-cairo](https://github.com/ungerik/go-cairo) - Go binding for the cairo graphics library.
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- [go-gd](https://github.com/bolknote/go-gd) - Go binding for GD library.
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- [go-nude](https://github.com/koyachi/go-nude) - Nudity detection with Go.
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- [go-qrcode](https://github.com/yeqown/go-qrcode) - Generate QR codes with personalized styles, allowing adjustments to color, block size, shape, and icons.
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- [go-webcolors](https://github.com/jyotiska/go-webcolors) - Port of webcolors library from Python to Go.
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- [go-webp](https://github.com/kolesa-team/go-webp) - Library for encode and decode webp pictures, using libwebp.
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- [gocv](https://github.com/hybridgroup/gocv) - Go package for computer vision using OpenCV 3.3+.
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- [gocryforhelp](https://github.com/ninedraft/gocryforhelp) - Collection of Go projects that needs help. Good place to start your open-source way in Go.
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- [Golang Developer Jobs](https://golangjob.xyz) - Developer Jobs exclusively for Golang related Roles.
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- [Golang News](https://golangnews.com) - Links and news about Go programming.
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- [Golang Nugget](https://mondaynugget.com/golang/) - A weekly roundup of the best Go content, delivered to your inbox every Monday.
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- [Golang Resources](https://golangresources.com) - A curation of the best articles, exercises, talks and videos to learn Go.
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- [Golang Weekly](https://discu.eu/weekly/golang/) - Each monday projects, tutorials and articles about Go.
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- [golang-graphics](https://github.com/mholt/golang-graphics) - Collection of Go images, graphics, and art.

docs/awesome/awesome-k6.md

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- [jmeter-to-k6](https://github.com/grafana/jmeter-to-k6) - Tool for converting JMeter test cases to k6 test scripts.
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- [jslib.k6.io](https://jslib.k6.io/) - Useful utility libs for k6 scripts.
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- [k6 for visual studio code](https://marketplace.visualstudio.com/items?itemName=k6.k6&ssr=false#overview) - Marketplace Extension for running k6 directly from your IDE.
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- [k6 for IntelliJ](https://plugins.jetbrains.com/plugin/16141-k6) - IntelliJ-based Plugin to run k6 tests locally or in the [k6 Cloud](https://app.k6.io/) from your IntelliJ IDE.
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- [k6 for IntelliJ](https://plugins.jetbrains.com/plugin/16141-k6) - IntelliJ-based Plugin to run and debug \[sic!\] k6 tests locally or in the [k6 Cloud](https://app.k6.io/) from your IntelliJ IDE.
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- [k6 Testkube executor](https://kubeshop.github.io/testkube/executor-k6/)
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- [k6-junit](https://github.com/simbadltd/k6-junit) - k6 JUnit summary exporter libray.
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- [k6-expect](https://github.com/simbadltd/k6-expect) - k6 library that simplifies writing tests in a functional way by providing a jest-like syntax for expectations.

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