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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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*[Probabilistic machine learning and artificial intelligence](https://www.nature.com/articles/nature14541) - ***Nature***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=1783282361269717744)]. Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.
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*[Generalization, similarity, and Bayesian inference](http://web.mit.edu/cocosci/archive/Papers/tenenbaum_griffiths01.pdf) - ***Behavioral and Brain Sciences***, 2001. [[All Versions](https://scholar.google.com/scholar?cluster=14074987155133342565&hl=en&as_sdt=0,5)]. Josh Tenenbaum's review on Bayesian generalization.
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* [Generalization, similarity, and Bayesian inference](https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/generalization-similarity-and-bayesian-inference/595CAA321C9C56270C624057021DE77A) - ***Behavioral and Brain Sciences***, 2001. [[All Versions](https://scholar.google.com/scholar?cluster=14074987155133342565)]. [[Preprint](http://web.mit.edu/cocosci/archive/Papers/tenenbaum_griffiths01.pdf)]. Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting with some basic assumptions about natural kinds, he derived an exponential decay function as the form of the universal generalization gradient, which accords strikingly well with a wide range of empirical data. However, his original formulation applied only to the ideal case of generalization from a single encountered stimulus to a single novel stimulus, and for stimuli that can be represented as points in a continuous metric psychological space. The authors recast Shepard's theory in a more general Bayesian framework and show how this naturally extends his approach to the more realistic situation of generalizing from multiple consequential stimuli with arbitrary representational structure. This framework also subsumes a version of Tversky's set-theoretic model of similarity, which is conventionally thought of as the primary alternative to Shepard's continuous metric space model of similarity and generalization.
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*[Bayesian modeling of human concept learning](http://web.mit.edu/cocosci/archive/Papers/bayes.pdf) - ***NeurIPS'98***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=12185543141957001794&hl=en&as_sdt=0,5&as_vis=1)]. Original paper on Bayesian generalization.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-angular.md
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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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*[ngx-clarity](https://github.com/jadengis/ngx-clarity) - A useful Angular library that automatically injects the script tag required to use [Microsoft Clarity](https://clarity.microsoft.com/).
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#### Authentication
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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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*[ngx-video-timeline](https://github.com/LennonReid/ngx-video-timeline) - Video playback progress bar component.
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#### Mixed utilities
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*[ionic-angular-library](https://github.com/rdlabo-team/ionic-angular-library) - A collection of components and services that are useful for developing Ionic Angular applications.
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*[ionic-angular-collect-icons](https://github.com/rdlabo-team/ionic-angular-collect-icons) - This library is used to uniquely group the ionIcons in a project, and generate for export ionIcons file. In small projects, it is difficult to manage addIcons() of ionIcons each time, so we automated it.
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*[IDEA-Ionic8-extra](https://github.com/iter-idea/IDEA-Ionic8-extra) - [IDEA's](https://www.iter-idea.com/) extra components and services built on Ionic 8, and distributed with different NPM packages.
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*[ionic-component-snippets](https://github.com/LennonReid/ionic-component-snippets) - This repository showcases demos and libraries that aren't officially supported by Ionic yet, but can be useful for developers and their apps.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-go.md
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-[imcache](https://github.com/erni27/imcache) - A generic in-memory cache Go library. It supports expiration, sliding expiration, max entries limit, eviction callbacks and sharding.
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-[nscache](https://github.com/no-src/nscache) - A Go caching framework that supports multiple data source drivers.
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-[otter](https://github.com/maypok86/otter) - A high performance lockless cache for Go. Many times faster than Ristretto and friends.
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-[pocache](https://github.com/naughtygopher/pocache) - Pocache is a minimal cache package which focuses on a preemptive optimistic caching strategy.
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-[sturdyc](https://github.com/creativecreature/sturdyc) - A caching library with advanced concurrency features designed to make I/O heavy applications robust and highly performant.
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-[theine](https://github.com/Yiling-J/theine-go) - High performance, near optimal in-memory cache with proactive TTL expiration and generics.
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-[timedmap](https://github.com/zekroTJA/timedmap) - Map with expiring key-value pairs.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-icons.md
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-[Material design icons](https://github.com/google/material-design-icons#readme) - Material Design icons by Google. ([Website](https://fonts.google.com/icons))
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-[Octicons](https://github.com/primer/octicons#readme) - A scalable set of icons handcrafted with <3 by GitHub. ([Website](https://octicons.github.com))
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-[Picon](https://github.com/yne/picon#readme) - Small ligature-based icon font and SVG. ([Website](https://yne.fr/picon))
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-[Radix Icons](https://github.com/radix-ui/icons) - A crisp set of 15×15 icons designed by the Modulz team. ([Website](https://icons.modulz.app/))
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-[Radix Icons](https://github.com/radix-ui/icons) - A crisp set of 15×15 icons designed by the WorkOS team. ([Website](https://www.radix-ui.com/icons/))
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-[Remix Icon](https://github.com/Remix-Design/RemixIcon#readme) - Remix Icon is a set of open-source neutral-style system symbols for designers and developers. ([Website](https://remixicon.com))
-[Super Tiny Icons](https://github.com/edent/SuperTinyIcons#readme) - Miniscule SVG versions of your favourite website and app logos, under 1KB each.
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-[Weather icons](https://github.com/erikflowers/weather-icons#readme) - Weather Themed Icons and CSS.
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- Zondicons - A set of free premium SVG icons for you to use on your digital products. ([Website](http://www.zondicons.com))
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- Iconbuddy - A search engine to browse open source svg icons. ([Website](http://iconbuddy.com))
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-[Iconify Deign](https://github.com/iconify/iconify#readme) - Most popular icon sets in one framework containg over 200,000 open source vector icons. ([Website](https://iconify.design))
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-[React Icons](https://github.com/react-icons/react-icons#reamde) - Popular icon sets created especially for React projects. ([Website](https://react-icons.github.io/react-icons/))
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## Logos
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-[Cryptocurrency icons](https://github.com/atomiclabs/cryptocurrency-icons#readme) - A set of icons for all the main cryptocurrencies and altcoins. ([Website](http://cryptoicons.co))
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-[Dev icons](https://github.com/vorillaz/devicons#readme) - An iconic font made for developers. ([Website](http://vorillaz.github.io/devicons))
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-[Devicon](https://github.com/devicons/devicon#readme) - Aims to gather all logos representing development languages and tools. ([Website](https://devicons.github.io/devicon))
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-[Simple icons](https://github.com/simple-icons/simple-icons#readme) - Free SVG icons for popular brands. ([Website](https://simpleicons.org))
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-[Simple icons](https://github.com/simple-icons/simple-icons#readme) - Free SVG icons for popular brands. ([Website](https://simpleicons.org/))
Copy file name to clipboardexpand all lines: docs/awesome/awesome-jmeter.md
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### Tutorials & Demo
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- Jenkins
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-[Performance Tests with JMeter, Maven and Hudson](https://blog.theserverlabs.com/performance-tests-with-jmeter-maven-and-hudson-d1cbdb3ffad8)
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-[Performance Tests with JMeter, Maven and Hudson](https://medium.com/the-server-labs/performance-tests-with-jmeter-maven-and-hudson-d1cbdb3ffad8)
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-[CI with Jenkins, Git, Maven, Grunt, and JMeter](https://github.com/dzuluagaapigee/apigee-ci-jenkins-git-maven-jmeter)
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-[Continuous automated web tests using Jenkins and JMeter](https://www.linkedin.com/pulse/continuous-automated-web-tests-using-jenkins-jmeter-mahanta)
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-[Automating JMeter tests with Maven and Jenkins](https://www.codecentric.de/wissens-hub/blog/automating-jmeter-tests-maven-jenkins)
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-[OctoPerf](https://octoperf.com/) - SaaS and On-Premise Load Testing Tool with JMeter and Selenium support.
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-[Tricentis Flood](https://www.flood.io/) - Load testing service with JMeter, Gatling and Selenium scenarios support.
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-[RedLine13](https://redline13.com/) - AWS-based load testing service with JMeter, Gatling and Selenium scenarios support.
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-[LoadRunner Cloud](https://www.microfocus.com/en-us/products/loadrunner-cloud/overview) - Micro Focus cloud-based solution for web and mobile performance testing with JMeter and Gatling support (formerly HP StormRunner Load).
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-[LoadRunner Cloud](https://www.opentext.com/products/loadrunner-cloud) - OpenText cloud-based solution for web and mobile performance testing with JMeter and Gatling support (formerly Micro Focus LoadRunner Cloud, formerly HP StormRunner Load).
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-[Loadium](https://loadium.com/) - AWS-based load testing service with JMeter and Selenium support.
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-[Azure Microsoft](https://azure.microsoft.com/en-us/products/load-testing/) - Azure Load Testing Service use Apache JMeter.
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### IDE Integration
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-[Intellij IDEA IDE Plugin](https://plugins.jetbrains.com/plugin/7013-jmeter-plugin) - Create run configurations and run JMeter tests from Intellij IDEA.
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-[JMeter Viewer](https://github.com/anboralabs/intellij-jmeter) - Open JMeter test plans inside Intellij IDE.
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-[JMeter + Eclipse HOWTO](https://cwiki.apache.org/confluence/display/jmeter/JMeterAndEclipseHowTo) - Develop the JMeter project with Eclipse IDE.
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-[Using a Load Generator in NetBeans IDE](https://netbeans.apache.org/tutorial/main/kb/docs/java/profile-loadgenerator/)
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-[Servers Performance Monitoring Plugin](https://jmeter-plugins.org/wiki/PerfMon/) - Server monitoring plugin from [JMeter Plugins](#plugins) project.
-[Dynatrace and JMeter integration](https://docs.dynatrace.com/docs/platform-modules/automations/cloud-automation/test-automation/dynatrace-and-jmeter-integration)
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-[JMeter integration with AppDynamics](https://docplayer.net/62851982-Jmeter-integration-with-appdynamics.html) - APM & EUM solution with JMeter integration.
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- Performance Remediation using New Relic and JMeter: [part 1](https://moduscreate.com/blog/performance-remediation-using-new-relic-jmeter-part-1-3/), [part 2](https://moduscreate.com/blog/performance-remediation-using-new-relic-jmeter-part-2-3/)
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-[Elastic APM integration](https://github.com/vdaburon/jmeter-elastic-apm) - Manages the integration of Elastic Application Performance Monitoring API in Apache JMeter script.
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### Forums
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-[JMeter Google Group](https://groups.google.com/forum/#!forum/ptgram24)
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-[JMeterPlugins Google Group](https://groups.google.com/forum/#!forum/jmeter-plugins)
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-[JMeterPlugins Google Group](https://groups.google.com/g/jmeter-plugins)
*[How To Label Data](https://www.lighttag.io/how-to-label-data/) - Guide on managing large scale linguistic annotation projects.
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*[Low Resource Languages](https://github.com/RIchardLitt/low-resource-languages) - A list of resources for conservation, development, and documentation of low resource (human) languages.
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*[Language Science Press](https://langsci-press.org/) - Language Science Press is a born-digital scholar-led open access publisher in linguistics.
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