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docs/awesome/awesome-agi-cocosci.md

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* [A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs](https://www.science.org/doi/full/10.1126/science.aag2612) - ***Science***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=1478382321633671444)]. [[Preprint](https://www.cs.jhu.edu/~ayuille/JHUcourses/ProbabilisticModelsOfVisualCognition2020/Lec22/GeorgeCAPCHAS.pdf)]. Learning from a few examples and generalizing to markedly different situations are capabilities of human visual intelligence that are yet to be matched by leading machine learning models. By drawing inspiration from systems neuroscience, this work introduces a probabilistic generative model for vision in which message-passing–based inference handles recognition, segmentation, and reasoning in a unified way. The model demonstrates excellent generalization and occlusion-reasoning capabilities and outperforms deep neural networks on a challenging scene text recognition benchmark while being 300-fold more data efficient. In addition, the model fundamentally breaks the defense of modern text-based CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) by generatively segmenting characters without CAPTCHA-specific heuristics.
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* [Where do hypotheses come from?](https://gershmanlab.com/pubs/Dasgupta17.pdf) - ***Cognitive Psychology***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=17480320046655923235&hl=en&as_sdt=2005&sciodt=0,5)]. A Bayesian account for modeling basic rules as the hypothesis space.
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* [Where do hypotheses come from?](https://www.sciencedirect.com/science/article/pii/S0010028516302766) - ***Cognitive Psychology***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=17480320046655923235)]. [[Preprint](https://gershmanlab.com/pubs/Dasgupta17.pdf)]. Why are human inferences sometimes remarkably close to the Bayesian ideal and other times systematically biased? In particular, why do humans make near-rational inferences in some natural domains where the candidate hypotheses are explicitly available, whereas tasks in similar domains requiring the self-generation of hypotheses produce systematic deviations from rational inference. This work proposes that these deviations arise from algorithmic processes approximating Bayes’ rule. Specifically in our account, hypotheses are generated stochastically from a sampling process, such that the sampled hypotheses form a Monte Carlo approximation of the posterior.
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#### Nonparametric Model

docs/awesome/awesome-angular.md

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* [@luistabotelho/angular-signal-forms](https://github.com/luistabotelho/angular-signal-forms) - Simple Angular library to implement forms with signals.
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* [ngx-form-object](https://github.com/infinum/ngx-form-object) - ngx-form-object is an abstraction on top of Angular's reactive forms. It generates a form from a given model and automatically handles creation of nested forms (HasOne and HasMany model relationships).
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* [reactive-form-extensions](https://gitlab.com/Riuen/reactive-form-extensions) - This project improves Angular's ReactiveForms with useful features like trimming inputs, showing error messages, and changing CSS classes based on validation rules, all without extra dependencies and with less code.
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* [pro-form](https://github.com/ProAngular/pro-form) - A predefined set of reactive and reusable form input components based on Angular Material.
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##### Form Controls
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* [@omnedia/ngx-scrollbar](https://github.com/omnedia/ngx-scrollbar) - This component offers a custom scrollbar with smooth scrolling functionality and allows for full control over its appearance through styling.
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* [ngx-perfect-scrollbar](https://github.com/Harvest-Dev/ngx-perfect-scrollbar) - This fork of [ngx-perfect-scrollbar](https://github.com/zefoy/ngx-perfect-scrollbar) is an Angular wrapper library for [Perfect Scrollbar](https://utatti.github.io/perfect-scrollbar/).
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* [ngx-virtual-dnd-list](https://github.com/mfuu/ngx-virtual-dnd-list) - A virtual scrolling list component that can be sorted by dragging.
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* [ngx-scroll-top](https://github.com/ProAngular/ngx-scroll-top) - Configurable, lightweight back to top button for Angular projects.
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#### State Management
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* [ngx-treeview2](https://github.com/TapBeep/ngx-treeview2) - An Angular treeview component with checkbox.
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* [ngx-imageviewer](https://github.com/viobui/ngx-imageviewer) - Generate a image/pdf viewer using canvas.
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* [ngx-json-schema-viewer](https://github.com/jy95/ngx-json-schema-viewer) - JSON Schema Viewer in Angular.
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* [ngx-gist](https://github.com/ProAngular/ngx-gist) - An Angular Material and highlightjs styled display box for GitHub gist and local code snippets.
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#### Misc Components
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docs/awesome/awesome-for-beginners.md

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|--|--|
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|Misc|[.NET](#net)|
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|A|[Angular](#angular), [Ansible](#ansible)|
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|C|[C](#c), [C#](#c-1), [C++](#c-2), [Clojure](#clojure)|
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|C|[C](#c), [C#](#c-1), [C++](#c-2), [Clojure](#clojure), [CSS](#css)|
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|D|[Dart](#dart)|
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|E|[Elixir](#elixir), [Elm](#elm)|
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|G|[Go](#go)|
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- [Metabase](https://github.com/metabase/metabase) _(label: good first issue)_ <br> Open source business intelligence and analytics platform
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## CSS
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- [ImprovedTube](https://github.com/code-charity/youtube) _(label: good first issue)_ <br> A powerful but lightweight extension, to enrich your video experience & enable your content selection.
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## Dart
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- [dart.dev](https://github.com/dart-lang/site-www) _(label: beginner)_ <br> A website covering Dart language and common libraries, for developers of Dart libraries, web apps, server-side code, and mobile (Flutter) apps.
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- [Hoppscotch](https://github.com/hoppscotch/hoppscotch) _(label: good first issue)_ <br> A free, fast and beautiful API request builder.
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- [HueHive](https://github.com/croma-app/croma) _(label: good first issue)_ <br> A open source react native app iOS and android for color palette management
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- [iD](https://github.com/openstreetmap/iD) _(label: good first issue)_ <br> The easy-to-use OpenStreetMap editor in JavaScript.
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- [ImprovedTube](https://github.com/code-charity/youtube) _(label: good first issue)_ <br> A powerful but lightweight extension, to enrich your video experience & enable your content selection.
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- [Jasmine](https://github.com/jasmine/jasmine) _(label: good first issue)_ <br> Simple JavaScript testing framework for browsers and node.js.
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- [Jest](https://github.com/facebook/jest) _(label: good first issue)_ <br> A complete and easy to set up JavaScript testing solution.
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- [json-editor](https://github.com/json-editor/json-editor) _(label: good first issue)_ <br> JSON Schema Based Editor. JSON Editor takes a JSON Schema and uses it to generate an HTML form. It has full support for JSON Schema version 3 and 4 and can integrate with several popular CSS frameworks (bootstrap, spectre, tailwind).

docs/awesome/awesome-generative-ai.md

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- [Llama](https://www.llama.com/) - Meta's open source large language model. #opensource
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- [Claude](https://claude.ai/) - Talk to Claude, an AI assistant from Anthropic.
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- [Vicuna-13B](https://lmsys.org/blog/2023-03-30-vicuna/) - An open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. #opensource
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- [Mixtral 8x7B](https://mistral.ai/news/mixtral-of-experts/) - A high-quality sparse mixture of experts model with open weights. #opensource
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- [Mistral](https://mistral.ai/en/models) - Cutting-edge open-weight LLMs by Mistral AI. #opensource
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- [Grok](https://grok.x.ai/) - An LLM by xAI with [open source](https://github.com/xai-org/grok-1) and open weights. #opensource
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- [Google AI Studio](https://aistudio.google.com/) - A web-based tool to prototype with Gemini and experimental models.
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- [Qwen](https://qwenlm.github.io/) - A series of LLMs independently developed by Alibaba Cloud. [#opensource](https://github.com/QwenLM/Qwen)
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- [Meta AI](https://www.meta.ai/) - Meta AI assistant to get things done, create AI-generated images, get answers. Built on Llama LLM.
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- [DeepSeek](https://www.deepseek.com/) - Cutting-edge LLMs for enterprise, consumer, and scientific applications. #opensource
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- [Character.AI](https://character.ai/) - Character.AI lets you create characters and chat to them.
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- [ChatPDF](https://www.chatpdf.com/) - Chat with any PDF.
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- [ChatSonic](https://writesonic.com/chat) - An AI-powered assistant that enables text and image creation.
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- [Pi](https://pi.ai) - A personalized AI platform available as a digital assistant.
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- [Qwen](https://chat.qwenlm.ai/) - Qwen chatbot with image generation, document processing, web search integration, video understanding, etc.
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- [Le Chat](https://chat.mistral.ai/) - Chat with Mistral AI's cutting-edge language models.
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- [HyperWrite](https://hyperwriteai.com/) - HyperWrite helps you write with confidence and get your work done faster from idea to final draft.
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- [Moonbeam](https://www.gomoonbeam.com/) - Better blogs in a fraction of the time.
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- [copy.ai](https://www.copy.ai/) - Write better marketing copy and content with AI.
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- [ChatSonic](https://writesonic.com/chat) - An AI-powered assistant that enables text and image creation.
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- [Anyword](https://anyword.com/) - Anyword's AI writing assistant generates effective copy for anyone.
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- [Hypotenuse AI](https://www.hypotenuse.ai/) - Turn a few keywords into original, insightful articles, product descriptions and social media copy.
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- [Lavender](https://www.lavender.ai/) - Lavender email assistant helps you get more replies in less time.
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- [ChatPDF](https://www.chatpdf.com/) - Chat with any PDF.
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- [Mem](https://mem.ai/) - Mem is the world's first AI-powered workspace that's personalized to you. Amplify your creativity, automate the mundane, and stay organized automatically.
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- [Taskade](https://www.taskade.com/) - Outline tasks, notes, generated structured lists and mind maps with Taskade AI.
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- [Notion AI](https://www.notion.so/product/ai) - Write better, more efficient notes and docs.

docs/awesome/awesome-go.md

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- [go-atlassian](https://github.com/ctreminiom/go-atlassian) - Go library for accessing the [Atlassian Cloud](https://www.atlassian.com/enterprise/cloud) services (Jira, Jira Service Management, Jira Agile, Confluence, Admin Cloud)
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- [go-aws-news](https://github.com/circa10a/go-aws-news) - Go application and library to fetch what's new from AWS.
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- [go-chronos](https://github.com/axelspringer/go-chronos) - Go library for interacting with the [Chronos](https://mesos.github.io/chronos/) Job Scheduler
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- [go-gerrit](https://github.com/andygrunwald/go-gerrit) - Go cient library for [Gerrit Code Review](https://www.gerritcodereview.com/).
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- [go-gerrit](https://github.com/andygrunwald/go-gerrit) - Go client library for [Gerrit Code Review](https://www.gerritcodereview.com/).
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- [go-hacknews](https://github.com/PaulRosset/go-hacknews) - Tiny Go client for HackerNews API.
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- [go-here](https://github.com/abdullahselek/go-here) - Go client library around the HERE location based APIs.
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- [go-hibp](https://github.com/wneessen/go-hibp) - Simple Go binding to the "Have I Been Pwned" APIs.

docs/awesome/awesome-readme.md

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- [alichtman/stronghold](https://github.com/alichtman/stronghold#readme) - Project logo. Clear description of what the project does. GIF Demo. TOC for easy navigation. Badges. Links for further reading. Simple install instructions.
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- [amitmerchant1990/electron-markdownify](https://github.com/amitmerchant1990/electron-markdownify#readme) - Project logo. Minimalist description of what it is. GIF demo of the project. Key features. How to install guide. Credits.
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- [amplication/amplication](https://github.com/amplication/amplication#readme) - Clear project logo. Brief explanation. All features explained. Clean documentation. Useful links (website, docs, discord). List of contributors with their pictures and usernames.
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- [anfederico/Clairvoyant](https://github.com/anfederico/Clairvoyant#readme) - Multiple badges. Clean logo. Simple install instructions. Clear overview of the project accompanied by a schematic. GIF demo. Extensive code examples.
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- [ankitwasankar/mftool-java](https://github.com/ankitwasankar/mftool-java#readme) - Project logo with a short display of what can be achieved with it, TOC for easy navigation, important badges, clean installation guide, and multiple code snippets showing how to use the functionality.
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- [antoinezanardi/werewolves-assistant-api-next](https://github.com/antoinezanardi/werewolves-assistant-api-next#readme) - Project logo. Badges. Concise description. TOC for easy navigation. Simple install instructions and various sections. Clean project with code coverage, CI, and many other features.
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- [AntonioFalcaoJr/EventualShop](https://github.com/AntonioFalcaoJr/EventualShop#readme) - The project has a logo and well-defined sections such as: information about the project, the architectural solution, along with reference links such as articles, videos, and documentation. It explains how to run the project in different environments (development and production). It has documented load tests, it also describes which technologies are used, and it has diagrams for the archetype.
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- [aregtech/areg-sdk](https://github.com/aregtech/areg-sdk#readme) - Logo. Multiple info and statistics badges. List of contributors and stargazers with pictures. TOC and "Back to top" links for easy navigation. Headlines with graphics. Topic hide/show menu. Project description and philosophy. Clone and integration instructions. Quick build with multiple tools. Tools configuration instructions. Reference to examples and Demo projects. Reference to use cases. References to guidance and Wiki pages. Links with badges to contact. Links with badges to share the project on social networks.
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- [Armync/Arminc-AutoExec](https://github.com/ArmynC/ArminC-AutoExec/#readme) - Rich Markdown functions, modern layout, clear description, and compliance with the recommended community standards.

docs/awesome/awesome-selfhosted.md

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- [Gatus](https://github.com/TwiN/gatus) - Automated service health dashboard. ([Demo](https://status.twin.sh)) `Apache-2.0` `Docker/K8S`
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- [kener](https://kener.ing/) - Status page with incident management, easy to use and customize. ([Demo](https://kener.ing/), [Source Code](https://github.com/rajnandan1/kener)) `MIT` `Nodejs/Docker`
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- [StatPing.ng](https://statping-ng.github.io/) - An easy to use Status Page for your websites and applications. Statping will automatically fetch the application and render a beautiful status page with tons of features for you to build an even better status page. ([Source Code](https://github.com/statping-ng/statping-ng)) `GPL-3.0` `Docker/Go`
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- [Uptime Kuma](https://github.com/louislam/uptime-kuma) - Self-hosted website monitoring tool like "Uptime Robot". ([Demo](https://demo.kuma.pet)) `MIT` `Docker/Nodejs`
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- [Uptime Kuma](https://uptime.kuma.pet/) - Self-hosted website monitoring tool like "Uptime Robot". ([Demo](https://demo.kuma.pet), [Source Code](https://github.com/louislam/uptime-kuma)) `MIT` `Docker/Nodejs`
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### Task Management & To-do Lists

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