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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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*[Explanation and Abductive Inference](https://cognition.princeton.edu/sites/default/files/cognition/files/explanation_abductive_inference.pdf) - ***The Oxford Handbook of Thinking and Reasoning***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=16126850654692681562)]. This chapter reviews evidence from cognitive psychology and cognitive development concerning the structure and function of explanations, with a focus on the role of explanations in learning and inference. The findings highlight the value of understanding explanation and abductive inference both as phenomena in their own right and for the insights they provide concerning foundational aspects of human cognition, such as representation, learning, and inference.
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*[Probabilistic models of cognition: Conceptual foundations](https://www.cs.jhu.edu/~ayuille/JHUcourses/ProbabilisticModelsOfVisualCognition2020/Lec7/chater2006probabilistica.pdf) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=12857321660837478492)]. A Bayesian account of Abduction.
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*[Probabilistic models of cognition: Conceptual foundations](https://www.cell.com/AJHG/fulltext/S1364-6613(06)00132-X) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=12857321660837478492)]. Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, ‘sophisticated’ probabilistic methods apply to structured relational systems such as graphs and grammars, of immediate relevance to the cognitive sciences. This review outlines progress in this rapidly developing field, which provides a potentially unifying perspective across a wide range of domains and levels of explanation.
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*[The structure and function of explanations](https://cognition.princeton.edu/sites/default/files/cognition/files/tics_explanation.pdf) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=2849189270394400667)]. Generating and evaluating explanations is spontaneous, ubiquitous and fundamental to our sense of understanding. Recent evidence suggests that in the course of an individual's reasoning, engaging in explanation can have profound effects on the probability assigned to causal claims, on how properties are generalized and on learning. These effects follow from two properties of the structure of explanations: explanations accommodate novel information in the context of prior beliefs, and do so in a way that fosters generalization.
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*[Explanatory Preferences Shape Learning and Inference](https://scholar.princeton.edu/sites/default/files/cognition/files/explanatory_prefs_tics.pdf) - ***Trends in Cognitive Sciences***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=2040551538203889465&hl=en&as_sdt=0,5)]. An account showing that inductive bias is critical for explanation.
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*[Explanatory Preferences Shape Learning and Inference](https://scholar.princeton.edu/sites/default/files/cognition/files/explanatory_prefs_tics.pdf) - ***Trends in Cognitive Sciences***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=2040551538203889465)]. People often learn by seeking explanations, and they assess the viability of hypotheses by considering how well they explain the data. An emerging body of work reveals that both children and adults have strong and systematic intuitions about what constitutes a good explanation, and that these explanatory preferences have a systematic impact on explanation-based processes. In particular, people favor explanations that are simple and broad, with the consequence that engaging in explanation can shape learning and inference by leading people to seek patterns and favor hypotheses that support broad and simple explanations.
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*[The Role of Explanatory Considerations in Updating](https://www.sciencedirect.com/science/article/pii/S0010027715000955) - ***Cognition***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=3089358487428261042&hl=en&as_sdt=0,5)].
Copy file name to clipboardexpand all lines: docs/awesome/awesome-angular.md
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*[ng-slider](https://github.com/Jaspero/ng-slider) - A light slider with no external dependencies.
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*[keen-slider](https://github.com/rcbyr/keen-slider) - The HTML touch slider carousel with the most native feeling you will get.
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*[ngx-darkbox-gallery-library](https://github.com/failed-successfully/ngx-darkbox-gallery-library) - A highly configurable lightbox themed gallery library for Angular applications using the Ivy engine (Angular 15+).
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*[ngx-hm-carousel](https://github.com/ZouYouShun/ngx-hm-carousel) - A light carousel for Angular 18+, supports mobile touch with [HammerJs](https://hammerjs.github.io/).
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#### Charts
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*[ngx-file-drop](https://github.com/georgipeltekov/ngx-file-drop) - Angular module for simple desktop file and folder drag and drop. This library does not need rxjs-compat.
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*[uppy](https://uppy.io/docs/angular/) - [Uppy](https://github.com/transloadit/uppy) is a sleek, modular JavaScript file uploader that integrates seamlessly with any application. It’s fast, has a comprehensible API and lets you worry about more important problems than building a file uploader.
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*[ngx-custom-material-file-input](https://github.com/daemons88/ngx-custom-material-file-input) - File input management for Angular Material.
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*[ngxf-uploader](https://github.com/ZouYouShun/ngxf-uploader) - File uploader for Angular 18+.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-code-review.md
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-[An experiment to assess the cost-benefits of code inspections in large scale software development (Porter, Siy, Toman & Votta, 1997)](http://laser.cs.umass.edu/courses/cs521-621.Fall10/documents/PorterSiyetal.pdf) Early paper that tested a range of then-current review techniques including multi-stage review and code-review-via-meeting that found you can get most of the benefit in an offline, single pass, with two reviewers.
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-[Anywhere, anytime code inspections: using the Web to remove inspection bottlenecks in large-scale software development (Perpich, Perry, Porter, Votta & Wade, 1997)](https://dl.acm.org/citation.cfm?id=253234) One day in the far future the best way to review code will be on the world wide web.
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-[Characteristics of Useful Code Reviews: An Empirical Study at Microsoft (Bosu, Greiler, Bird, 2015)](https://www.michaelagreiler.com/wp-content/uploads/2019/02/Characteristics-Of-Useful-Comments.pdf) This paper reports the findings of a large scale qualitative and quantitative study focusing on understanding which code review comments are considered useful by developers.
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-[Characteristics of Useful Code Reviews: An Empirical Study at Microsoft (Bosu, Greiler, Bird, 2015)](https://www.michaelagreiler.com/wp-content/uploads/2019/02/Characteristics-Of-Useful-Comments.pdf) This paper reports the findings of a large scale qualitative and quantitative study focusing on understanding which code review comments are considered useful by developers.
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-[Code Reviewing in the Trenches: Understanding Challenges, Best Practices, and Tool Needs (MacLeod, Greiler, Storey, Bird, Czerwonka, 2018)](https://www.michaelagreiler.com/wp-content/uploads/2019/03/Code-Reviewing-in-the-Trenches-Understanding-Challenges-Best-Practices-and-Tool-Needs.pdf) A large scale study of over 900 Microsoft developers to understand their code review processes, their motivations to do code reviews, and which pitfalls and best practices they encounter.
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-[Design and Code Inspections to Reduce Errors in Program Development (Fagan, 2002)](https://link.springer.com/chapter/10.1007/978-3-642-59412-0_35) Using a more formal process, particularly with defined roles for each participant and drive a big increase in error detection during review.
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-[Helping Developers Help Themselves: Automatic Decomposition of Code Review Changes (Barnett et al. 2015)](http://research.microsoft.com/pubs/238937/barnett2015hdh.pdf) ([summary on the morning paper](https://blog.acolyer.org/2015/06/26/helping-developers-help-themselves-automatic-decomposition-of-code-review-changes/)) Research into automatically splitting big diffs into smaller diffs leading to better reviews.
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-[Gerrit](https://www.gerritcodereview.com/) Open source git code review tool originating out of Google.
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-[GitHub](https://github.com) Git hosting and pioneer of the "Pull Request".
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-[Gitpod](https://gitpod.io) Code review pull requests in a full IDE within your browser.
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-[GitRise](https://www.gitrise.com/) Slack Reminders for GitHub pull requests
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-[LGTM](https://lgtm.com) Automated Git code review for GitHub and Bitbucket pull requests for finding security vulnerabilities and code quality issues.
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-[Phabricator](https://www.phacility.com/phabricator/) Open source git/mercurial/svn code review tool originating out of Facebook.
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-[PullNotifier](https://www.pullnotifier.com/) Improve pull request visibility and overall productivity for dev teams using Github and Slack.
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-[PullRequest](https://www.pullrequest.com/) Code review as a service for GitHub pull requests.
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-[Reviewable](https://reviewable.io/) Code review tool built on top of GitHub pull requests.
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-[Review Board](https://www.reviewboard.org/) Open source review tool that is SCM/platform neutral.
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-[Rubberduck](https://www.rubberduck.io) Browser extension to adds code-aware navigation to GitHub pull requests.
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-[Sider](https://sider.review/) Automated code review service for GitHub.
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-[Softagram](https://softagram.com/) Automated code change visualization (and dependency analytics) for pull requests, merge requests (GitLab) and patch sets (Gerrit).
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-[SonarCloud](https://sonarcloud.io) Detect code smells, bugs and vulnerabilities in Azure DevOps, Bitbucket and GitHub repositories.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-db-tools.md
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### Diagrams
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-[Azimutt](https://github.com/azimuttapp/azimutt) - An Entity Relationship diagram (ERD) visualization tool, with various filters and inputs to help understand your database schema.
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-[ChartDB](https://github.com/chartdb/chartdb) - Free and Open-source database diagrams editor, visualize and design your DB with a single query.
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-[DrawDB](https://github.com/drawdb-io/drawdb) - Free, simple, and intuitive online database design tool and SQL generator.
- [K8gb](https://github.com/k8gb-io/k8gb) - A cloud native Kubernetes Global Balancer.
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- [Kitex](https://github.com/cloudwego/kitex) - A high-performance and strong-extensibility Golang RPC framework that helps developers build microservices. If the performance and extensibility are the main concerns when you develop microservices, Kitex can be a good choice.
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- [Kratos](https://github.com/go-kratos/kratos) - A modular-designed and easy-to-use microservices framework in Go.
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- [liftbridge](https://github.com/liftbridge-io/liftbridge) - Lightweight, fault-tolerant message streams for NATS.
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_Libraries for working with dependency injection._
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- [alice](https://github.com/magic003/alice) - Additive dependency injection container for Golang.
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- [autowire](https://github.com/tiendc/autowire) - Dependency injection using Generics and reflection.
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- [boot-go](http://github.com/boot-go/boot) - Component-based development with dependency injection using reflections for Go developers.
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- [componego](https://github.com/componego/componego) - A dependency injection framework based on components, allowing dynamic dependency replacement without duplicating code in tests.
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- [cosban/di](https://gitlab.com/cosban/di) - A code generation based dependency injection wiring tool.
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- [di](https://github.com/goava/di) - A dependency injection container for go programming language.
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- [dig](https://github.com/uber-go/dig) - A reflection based dependency injection toolkit for Go.
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- [dsunit](https://github.com/viant/dsunit) - Datastore testing for SQL, NoSQL, structured files.
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- [embedded-postgres](https://github.com/fergusstrange/embedded-postgres) - Run a real Postgres database locally on Linux, OSX or Windows as part of another Go application or test.
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- [endly](https://github.com/viant/endly) - Declarative end to end functional testing.
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- [envite](https://github.com/PerimeterX/envite) - Dev and testing environment management framework.
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- [fixenv](https://github.com/rekby/fixenv) - Fixture manage engine, inspired by pytest fixtures.
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- [fluentassert](https://github.com/fluentassert/verify) - Extensible, type-safe, fluent assertion Go library.
Discuss this project in[Kotlin Slack](http://slack.kotlinlang.org/), channel: **# awesome-kotlin**
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[](https://github.com/sindresorhus/awesome)[](https://github.com/KotlinBy/awesome-kotlin/actions/workflows/build.yml)[](https://github.com/KotlinBy/awesome-kotlin)
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[](https://github.com/sindresorhus/awesome)[](https://github.com/Heapy/awesome-kotlin/actions/workflows/build.yml)[](https://github.com/Heapy/awesome-kotlin)
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:newspaper:[RSS Feed of articles, videos, slides, updates (20 latest articles)](http://kotlin.link/rss.xml)
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:newspaper:[RSS Feed of articles, videos, slides, updates (full archive)](http://kotlin.link/rss-full.xml)
Copy file name to clipboardexpand all lines: docs/awesome/awesome-lit.md
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-[`<json-viewer>`](https://github.com/alenaksu/json-viewer) - Web Component to visualize JSON data in a tree view.
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-[`<light-gallery>`](https://github.com/sachinchoolur/lightGallery/tree/master/lightgallery-lit) - Full featured JavaScript image and video gallery for Lit.
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-[`<lit-datatable>`](https://github.com/DoubleTrade/lit-datatable) - Material Design implementation of a data table, powered by LitElement.
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-[`<lit-image-cropper>`](https://github.com/andy-austin/lit-image-cropper) - Fast and lightweight image cropper component.
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-[`<lottie-player>`](https://github.com/LottieFiles/lottie-player) - Web Component for easily embedding and playing Lottie animations.
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-[`<model-viewer>`](https://github.com/GoogleWebComponents/model-viewer) - A web component for rendering interactive 3D models.
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-[`<rapi-doc>`](https://github.com/mrin9/RapiDoc) - Web Component to view OpenAPI 3.0 & Swagger 2.0 Spec.
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-[linrongbin16/colorbox.nvim](https://github.com/linrongbin16/colorbox.nvim) - Load all the ultra colorschemes into your Neovim player!
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-[CWood-sdf/pineapple](https://github.com/CWood-sdf/pineapple) - Install any colorscheme in your config without leaving your terminal. Collects every colorscheme on the internet and allows you to preview them all before installing.
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-[BrunoCiccarino/gardenal](https://github.com/BrunoCiccarino/gardenal) - Gardenal is a theme switcher, which allows the user to create keyboard shortcuts to switch between themes with one click.
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-[LmanTW/themify.nvim](https://github.com/LmanTW/themify.nvim/tree/main) - A colorscheme manager and switcher. Inspired by Themery.nvim and Lazy.nvim.
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