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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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*[From Algorithmic to Subjective Randomness](https://proceedings.neurips.cc/paper/2003/hash/b06b5541a62ed438f956b662b4e1ec28-Abstract.html) - ***NeurIPS'03***, 2003. [[All Versions](https://scholar.google.com/scholar?cluster=14721764738308036578)].
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* [On the Complexity of Bayesian Generalization](https://proceedings.mlr.press/v202/shi23i.html) - ***ICML'23***, 2023. [[All Versions](https://scholar.google.com/scholar?cluster=5817813824878811147)]. [[Code](https://github.com/SHI-Yu-Zhe/bayesian-generalization-complexity)]. [[Models](https://drive.google.com/file/d/1eCuFqBYN8kuiAmoVtXWedXW0r0TdY55W/view)]. This work examine concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily studied isolated, focusing on confined and abstract problem spaces. This work studies these two modes when the problem space scales up and when the complexity of concepts becomes diverse. At the representational level, the authors investigate how the complexity varies when a visual concept is mapped to the representation space. Prior literature has shown that two types of complexities build an inverted-U relation. Leveraging Representativeness of Attribute (RoA), the authors computationally confirm: Models use attributes with high RoA to describe visual concepts, and the description length falls in an inverted-U relation with the increment in visual complexity. At the computational level, the authors examine how the complexity of representation affects the shift between the rule- and similarity-based generalization. The authors hypothesize that category-conditioned visual modeling estimates the co-occurrence frequency between visual and categorical attributes, thus potentially serving as the prior for the natural visual world. Experimental results show that representations with relatively high subjective complexity outperform those with relatively low subjective complexity in rule-based generalization, while the trend is the opposite in similarity-based generalization.
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* [On the Complexity of Bayesian Generalization](https://proceedings.mlr.press/v202/shi23i.html) - ***ICML'23***, 2023. [[All Versions](https://scholar.google.com/scholar?cluster=5817813824878811147)]. [[Project](https://github.com/SHI-Yu-Zhe/bayesian-generalization-complexity)]. [[Models](https://drive.google.com/file/d/1eCuFqBYN8kuiAmoVtXWedXW0r0TdY55W/view)]. This work examine concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily studied isolated, focusing on confined and abstract problem spaces. This work studies these two modes when the problem space scales up and when the complexity of concepts becomes diverse. At the representational level, the authors investigate how the complexity varies when a visual concept is mapped to the representation space. Prior literature has shown that two types of complexities build an inverted-U relation. Leveraging Representativeness of Attribute (RoA), the authors computationally confirm: Models use attributes with high RoA to describe visual concepts, and the description length falls in an inverted-U relation with the increment in visual complexity. At the computational level, the authors examine how the complexity of representation affects the shift between the rule- and similarity-based generalization. The authors hypothesize that category-conditioned visual modeling estimates the co-occurrence frequency between visual and categorical attributes, thus potentially serving as the prior for the natural visual world. Experimental results show that representations with relatively high subjective complexity outperform those with relatively low subjective complexity in rule-based generalization, while the trend is the opposite in similarity-based generalization.
*[ngs-json-utils](https://github.com/andrei-shpileuski/ngs-json-utils) - A lightweight utility library for Angular applications that provides easy-to-use functions for working with JSON objects. It includes methods for deep cloning, serialization, and deserialization of JSON data, designed specifically for Angular projects with TypeScript support.
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*[lbx-change-sets](https://github.com/Service-Soft/lbx-change-sets) - This package helps you to track changes made on your entities automatically using a base repository class to extend from.
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*[ngememoize](https://github.com/akbarsaputrait/ngememoize) - Easily boost the performance of your Angular applications by memoizing functions and getters with this lightweight and simple-to-use library.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-coq.md
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### Tools
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-[Alectryon](https://github.com/cpitclaudel/alectryon) - Collection of tools for writing technical documents that mix Coq code and prose.
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-[Autosubst 2](https://github.com/uds-psl/autosubst2) - Tool that generates Coq code for handling binders in syntax, such as for renaming and substitutions.
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-[Autosubst-ocaml](https://github.com/uds-psl/autosubst-ocaml) - Tool that generates Coq code for handling binders in syntax, such as for renaming and substitutions.
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-[CFML](https://gitlab.inria.fr/charguer/cfml2) - Tool for proving properties of OCaml programs in separation logic.
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-[coq2html](https://github.com/xavierleroy/coq2html) - Alternative HTML documentation generator for Coq.
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-[coqdoc](https://coq.inria.fr/refman/using/tools/coqdoc.html) - Standard documentation tool that generates LaTeX or HTML files from Coq code.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-for-beginners.md
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## Clojure
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-[Alda](https://github.com/alda-lang/alda)_(label: low-hanging-fruit)_ <br> A music programming language for musicians. 🎶
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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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## Dart
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-[LinksHub](https://github.com/rupali-codes/LinksHub)_(label: good first issue)_ <br> LinksHub aims to provide developers with access to a wide range of free resources and tools that they can use in their work.
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-[LitmusChaos](https://github.com/litmuschaos/litmus)_(label: good first issue)_ <br> Litmus is a toolset to do cloud-native chaos engineering.
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-[Manifest](https://github.com/mnfst/manifest)_(label: good first issue)_ <br> Manifestis an open-source Backend-as-a-Service allowign developers to create a backend easily and quickly.
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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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-[Node Efficientnet](https://github.com/ntedgi/node-efficientnet)_(label: good first issue)_ <br> EfficientNet Image Recognition model for Node JS ( written with tensorflow.js ).
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-[OpenMetadata](https://github.com/open-metadata/OpenMetadata)_(label: good first issue)_ <br> OpenMetadata is an all-in-one platform for data discovery, data quality, observability, governance, data lineage, and team collaboration.
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-[Oppia](https://github.com/oppia/oppia)_(label: good first issue)_ <br> Oppia is an open-source project whose aim is to empower learners across the globe by providing access to high-quality, engaging education. We envision a society in which access to high-quality education is a human right rather than a privilege.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-integration.md
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*API design, documentation, and life-cycle automation tools streamline the process of creating, maintaining, and evolving APIs. These tools offer efficient means to design consistent and scalable APIs, generate comprehensive documentation, and automate various stages of the API life-cycle, enhancing developer experience and promoting API adoption.*
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-[Dredd (⭐4.1k)](https://github.com/apiaryio/dredd) - Validate API description docs against backend implementation using this language-agnostic CLI tool.
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-[OpenAPI-GUI (⭐1.4k)](https://github.com/Mermade/openapi-gui) - Create and validate OpenAPI specs with ease using this intuitive graphical user interface.
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-[OpenAPI Diff (⭐849)](https://github.com/OpenAPITools/openapi-diff) - Compare OpenAPI specs with version control and visualize the differences in HTML or Markdown format.
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-[OpenAPI Diff (⭐850)](https://github.com/OpenAPITools/openapi-diff) - Compare OpenAPI specs with version control and visualize the differences in HTML or Markdown format.
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-[OpenAPI Generator (⭐22k)](https://github.com/OpenAPITools/openapi-generator) - Automate the creation of API client libraries, server stubs, documentation and config files with this powerful OpenAPI Spec tool.
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-[OpenAPI Style Validator (⭐213)](https://github.com/OpenAPITools/openapi-style-validator) - Ensure that your OpenAPI specs meet your organization's standards with this flexible and customizable style validator.
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-[Spectral (⭐2.5k)](https://github.com/stoplightio/spectral) - Detect and fix errors in your JSON/YAML files using this linter tool that supports OpenAPI 3.0 & 2.0 and AsyncAPI.
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-[SwaggerHub](https://swagger.io/tools/swaggerhub/) - An integrated API design and documentation platform built for teams, with versioning, testing automation, and integration with popular API tools.
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-[Swagger UI (⭐26k)](https://github.com/swagger-api/swagger-ui) - An intuitive tool for exploring and interacting with APIs, with API specification visualization, endpoint exploration, and built-in interactive console.
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-[SpectaQL (⭐1.1k)](https://github.com/anvilco/spectaql) - A Node.js library that generates static documentation for a GraphQL schema from various sources, including live endpoint, query result, and SDL files.
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-[Zudoku (⭐118)](https://github.com/zuplo/zudoku) - An open-source, OpenAPI powered, highly customizable API documentation framework for building quality developer experiences.
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-[Zudoku (⭐119)](https://github.com/zuplo/zudoku) - An open-source, OpenAPI powered, highly customizable API documentation framework for building quality developer experiences.
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-[AltasMap (⭐199)](https://github.com/atlasmap/atlasmap) - A web-based data mapping solution that simplifies integration between Java, XML, CSV, and JSON data sources. Its interactive user interface makes configuring integrations easy.
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-[Altova MapForce](https://www.altova.com/mapforce) - A graphical data mapping tool that can handle any-to-any conversion and integration tasks. It simplifies complex mapping tasks, enabling software engineers to complete projects faster.
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-[JOLT (⭐1.5k)](https://github.com/bazaarvoice/jolt) - A Java-based JSON-to-JSON transformation library that uses a JSON document as the "specification" for the transform. JOLT provides a simple way for software engineers to transform JSON data.
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-[JSLT (⭐643)](https://github.com/schibsted/jslt) - A complete query and transformation language for JSON that is inspired by jq, XPath, and XQuery. With JSLT, software engineers can quickly and easily transform JSON data to meet their needs.
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-[JSLT (⭐644)](https://github.com/schibsted/jslt) - A complete query and transformation language for JSON that is inspired by jq, XPath, and XQuery. With JSLT, software engineers can quickly and easily transform JSON data to meet their needs.
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-[Apache Airflow (⭐38k)](https://github.com/apache/airflow) - A platform that allows you to create, schedule, and monitor workflows programmatically, making it easier to manage and automate complex data pipelines.
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-[Argo Workflows (⭐15k)](https://github.com/argoproj/argo-workflows) - An open-source, container-native workflow engine designed to orchestrate parallel jobs on Kubernetes, making it easier to manage and automate complex workflows in a cloud-native environment.
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-[Azkaban (⭐4.4k)](https://github.com/azkaban/azkaban) - A distributed workflow manager that helps solve the problem of Hadoop job dependencies, making it easier to schedule and manage workflows in large-scale data processing environments.
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-[Bonita (⭐156)](https://github.com/bonitasoft/bonita-engine) - An open-source BPMN engine that comes with a designer and optional development environment, making it easier to build and automate complex business processes.
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-[Bonita (⭐157)](https://github.com/bonitasoft/bonita-engine) - An open-source BPMN engine that comes with a designer and optional development environment, making it easier to build and automate complex business processes.
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-[Cadence (⭐8.3k)](https://github.com/uber/cadence) - A fault-tolerant, stateful code platform that makes it easier to build and manage complex, long-running applications.
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-[Camunda (⭐4.1k)](https://github.com/camunda/camunda-bpm-platform) - An open-source workflow and decision automation platform that helps you automate business processes and decisions in a flexible and scalable way.
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-[Conductor (⭐12k)](https://github.com/Netflix/conductor) - A cloud-based orchestration engine designed to run and manage workflows in a microservices architecture.
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-[Elsa Core (⭐6.6k)](https://github.com/elsa-workflows/elsa-core) - A library that enables workflow execution in any .NET Core application, making it easier to automate business processes in .NET environments.
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-[Flowable (⭐8k)](https://github.com/flowable/flowable-engine) - A set of open-source business process engines that are compact and efficient, making it easier to automate business processes in a scalable and reliable way.
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-[Flowable (⭐8.1k)](https://github.com/flowable/flowable-engine) - A set of open-source business process engines that are compact and efficient, making it easier to automate business processes in a scalable and reliable way.
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-[jBPM (⭐1.6k)](https://github.com/kiegroup/jbpm) - A toolkit for building business applications that helps you automate business processes and decisions, making it easier to manage complex workflows.
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-[StackStorm (⭐6.1k)](https://github.com/StackStorm/st2) - A robust automation engine that provides sensors, triggers, rules, workflows, and actions to help you automate and orchestrate complex workflows and applications.
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-[Temporal (⭐12k)](https://github.com/temporalio/temporal) - An open-source platform that uses a workflow-as-code approach to make your applications more reliable and scalable.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-neovim.md
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-[EvWilson/spelunk.nvim](https://github.com/EvWilson/spelunk.nvim) - Create and manage bookmarks as stacks with a friendly UI.
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-[2KAbhishek/markit.nvim](https://github.com/2KAbhishek/markit.nvim) - Improved global marks and project wide bookmarks, to quickly navigate files.
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-[you-n-g/navigate-note.nvim](https://github.com/you-n-g/navigate-note.nvim) - Integrating note-taking capabilities with navigation/marking.
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-[zongben/navimark.nvim](https://github.com/zongben/navimark.nvim) - An easy and powerful bookmark manager with telescope.
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## Color
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-[NvChad/nvim-colorizer.lua](https://github.com/NvChad/nvim-colorizer.lua) - A high-performance color highlighter which has no external dependencies!.
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-[catgoose/nvim-colorizer.lua](https://github.com/catgoose/nvim-colorizer.lua) - A high-performance color highlighter which has no external dependencies.
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-[winston0410/range-highlight.nvim](https://github.com/winston0410/range-highlight.nvim) - An extremely lightweight plugin (~ 120loc) that highlights ranges you have entered in commandline.
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-[xiyaowong/transparent.nvim](https://github.com/xiyaowong/transparent.nvim) - Make your Neovim transparent.
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-[folke/twilight.nvim](https://github.com/folke/twilight.nvim) - Dim inactive portions of the code you're editing using Tree-sitter.
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-[backdround/global-note.nvim](https://github.com/backdround/global-note.nvim) - One global note in a floating window.
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-[2KAbhishek/tdo.nvim](https://github.com/2KAbhishek/tdo.nvim) - Fast and simple note taking.
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-[slugbyte/whip.nvim](http://github.com/slugbyte/whip.nvim) - A super fast minimal scratchpad management plugin, biew biew biew.
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-[athar-qadri/scratchpad.nvim](https://github.com/athar-qadri/scratchpad.nvim) - Effortlessly manage scratchpads within your favorite editor.
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-[NeViRAIDE/nekifoch.nvim](https://github.com/NeViRAIDE/nekifoch.nvim) - Managing Kitty terminal font settings.
-[samharju/yeet.nvim](https://github.com/samharju/yeet.nvim) - Run shell commands in terminal buffers or tmux panes.
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-[isak102/ghostty.nvim](https://github.com/isak102/ghostty.nvim) - Automatically validate your Ghostty configuration on save.
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-[tummetott/unimpaired.nvim](https://github.com/tummetott/unimpaired.nvim) - Lua port of [tpope/vim-unimpaired](https://github.com/tpope/vim-unimpaired).
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-[daltongd/yanklock.nvim](https://github.com/daltongd/yanklock.nvim) - Temporarily lock the paste register to `"0`, and use `d`, `c`, and `s` motions while keeping the most recent yanked content easily accessible.
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-[zongben/capsoff.nvim](https://github.com/zongben/capsoff.nvim) - Turns off CapsLock when you leaving insert mode.
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-[kobbikobb/move-lines.nvim](https://github.com/kobbikobb/move-lines.nvim) - Moves lines selected in virtual mode.
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