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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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*[Product Line Engineering Using Domain-Specific Languages](https://ieeexplore.ieee.org/abstract/document/6030048) - ***ISPLC'11***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=17589685299346185442)]. [[Preprint](https://voelter.de/data/pub/VoelterVisser-PLEusingDSLs.pdf)]. This paper investigates the application of domain-specific languages in product line engineering (PLE).
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*[A Domain-Specific Language for Product-Process-Resource Modeling](https://ieeexplore.ieee.org/document/9613674) - ***ETFA'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=6006131184799036515)]. This paper presents the design of the PPR-DSL to effectively and efficiently represent Product-Process-Resource (PPR) aspects and evaluate constraints defined for modeling PPR views in the Formalized Process Description standard (VDI 3682).
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*[A Domain-Specific Language for Product-Process-Resource Modeling](https://ieeexplore.ieee.org/document/9613674) - ***ETFA'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=6006131184799036515)]. This paper presents the design of the PPR-DSL to effectively and efficiently represent Product-Process-Resource (PPR) aspects and evaluate constraints defined for modeling PPR views in the Formalized Process Description standard (VDI 3682).
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*[The Scene Language: Representing Scenes with Programs, Words, and Embeddings](https://arxiv.org/abs/2410.16770) - 2024. [[All Versions](https://scholar.google.com/scholar?cluster=8704845413716059914)]. [[Project](https://ai.stanford.edu/~yzzhang/projects/scene-language/)]. This paper introduces the Scene Language, a visual scene representation that concisely and precisely describes the structure, semantics, and identity of visual scenes. It represents a scene with three key components: a program that specifies the hierarchical and relational structure of entities in the scene, words in natural language that summarize the semantic class of each entity, and embeddings that capture the visual identity of each entity. This representation can be inferred from pre-trained language models via a training-free inference technique, given text or image inputs.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-angular.md
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*[docker-ng-cli-karma](https://github.com/trion-development/docker-ng-cli-karma) - Angular docker image capable of running Karma with Chrome.
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*[ngx-playwright](https://github.com/bgotink/ngx-playwright) - Tools to run Playwright e2e tests in an Angular workspace.
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*[Meticulous AI](https://www.meticulous.ai/) - Cover the 1000s of edge cases of your application - without writing or maintaining a single test.
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*[ngtx](https://github.com/Centigrade/ngtx) - `ngtx` stands for "A**ng**ular **T**esting E**x**tensions" and is a small set of functions aiming to make your life easier when testing Angular components.
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#### Updating
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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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*[ng-draw-flow](https://github.com/taiga-family/ng-draw-flow) - A library for creating interfaces based on displaying data as nodes. It allows you to create both simple diagrams and complex editors for building customised charts and graphs.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-go.md
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## Job Scheduler
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_Libraries for scheduling jobs._
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-[Cadence-client](https://github.com/uber-go/cadence-client) - A framework for authoring workflows and activities running on top of the Cadence orchestration engine made by Uber.
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-[cdule](https://github.com/deepaksinghvi/cdule) - Job scheduler library with database support
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-[cheek](https://github.com/datarootsio/cheek) - A simple crontab like scheduler that aims to offer a KISS approach to job scheduling.
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-[clockwerk](https://github.com/onatm/clockwerk) - Go package to schedule periodic jobs using a simple, fluent syntax.
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-[cronticker](https://github.com/krayzpipes/cronticker) - A ticker implementation to support cron schedules.
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-[Dagu](https://github.com/dagu-go/dagu) - No-code workflow executor. it executes DAGs defined in a simple YAML format.
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-[go-cron](https://github.com/rk/go-cron) - Simple Cron library for go that can execute closures or functions at varying intervals, from once a second to once a year on a specific date and time. Primarily for web applications and long running daemons.
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-[go-dag](https://github.com/rhosocial/go-dag) - A framework developed in Go that manages the execution of workflows described by directed acyclic graphs.
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-[go-quartz](https://github.com/reugn/go-quartz) - Simple, zero-dependency scheduling library for Go.
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-[go-taskflow](https://github.com/noneback/go-taskflow) - A taskflow-like Programmatic DAG Task Execution Framework with integrated visualizer and profiler.
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-[gocron](https://github.com/go-co-op/gocron) - Easy and fluent Go job scheduling. This is an actively maintained fork of [jasonlvhit/gocron](https://github.com/jasonlvhit/gocron).
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-[goflow](https://github.com/fieldryand/goflow) - A simple but powerful DAG scheduler and dashboard.
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-[gron](https://github.com/roylee0704/gron) - Define time-based tasks using a simple Go API and Gron’s scheduler will run them accordingly.
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-[gronx](https://github.com/adhocore/gronx) - Cron expression parser, task runner and daemon consuming crontab like task list.
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-[JobRunner](https://github.com/bamzi/jobrunner) - Smart and featureful cron job scheduler with job queuing and live monitoring built in.
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-[jobs](https://github.com/albrow/jobs) - Persistent and flexible background jobs library.
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-[leprechaun](https://github.com/kilgaloon/leprechaun) - Job scheduler that supports webhooks, crons and classic scheduling.
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-[sched](https://github.com/romshark/sched) - A job scheduler with the ability to fast-forward time.
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-[scheduler](https://github.com/carlescere/scheduler) - Cronjobs scheduling made easy.
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-[gosddl](https://github.com/MonaxGT/gosddl) - Converter from SDDL-string to user-friendly JSON. SDDL consist of four part: Owner, Primary Group, DACL, SACL.
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## Workflow Frameworks
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_Libraries for creating Workflows._
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-[Cadence-client](https://github.com/uber-go/cadence-client) - A framework for authoring workflows and activities running on top of the Cadence orchestration engine made by Uber.
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-[Dagu](https://github.com/dagu-go/dagu) - No-code workflow executor. it executes DAGs defined in a simple YAML format.
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-[go-dag](https://github.com/rhosocial/go-dag) - A framework developed in Go that manages the execution of workflows described by directed acyclic graphs.
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-[go-taskflow](https://github.com/noneback/go-taskflow) - A taskflow-like Programmatic DAG Task Execution Framework with integrated visualizer and profiler.
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-[workflow](https://github.com/luno/workflow) - A tech stack agnostic Event Driven Workflow framework.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-math.md
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## Foundations of Mathematics
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### Transition To Pure Rigour Math
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* 📝 [Basic Concepts of Mathematics](http://www.trillia.com/zakon1.html) - Elias Zakon
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* 📝 [Book of Proof](https://www.people.vcu.edu/~rhammack/BookOfProof/) - Richard Hammak (Virginia Commonwealth University)
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* 📝 [Book of Proof](https://richardhammack.github.io/BookOfProof/) - Richard Hammak (Virginia Commonwealth University)
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* 📖 [How to Prove It: A Structured Approach (3rd Edition)](https://ia800501.us.archive.org/7/items/how-to-prove-it-a-structured-approach-daniel-j.-velleman/How%20to%20Prove%20It%20A%20Structured%20Approach%20%28Daniel%20J.%20Velleman%29.pdf) - Daniel J. Velleman (Professor).
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### Set Theory
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### Differential Geometry
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* 📝 [Introduction to Differential Geometry](https://people.math.ethz.ch/~salamon/PREPRINTS/diffgeo.pdf) - Joel W. Robbin, Dietmar A. Salamon
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* 📝 [Notes on Differential Geometry and Lie Groups](http://www.seas.upenn.edu/~jean/diffgeom.pdf) - Jean Gallier (University of Pennsylvania)
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* 📝 [Notes on Differential Geometry and Lie Groups](https://www.cis.upenn.edu/~jean/gbooks/manif.html) - Jean Gallier (University of Pennsylvania)
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* 📝 [Topics in Differential Geometry](http://www.mat.univie.ac.at/~michor/dgbook.pdf) - Peter W. Michor
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* 📝 [Lectures on Differential Geometry](http://mysite.science.uottawa.ca/rossmann/Differential%20Geometry%20book_files/Diffgeo.pdf) - Wulf Rossmann
Copy file name to clipboardexpand all lines: docs/awesome/awesome-ocaml.md
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-[BAP](https://github.com/BinaryAnalysisPlatform/bap) - BAP is a reverse engineering and program analysis platform that targets binary programs.
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-[BinCat](https://github.com/airbus-seclab/bincat) - BinCat is a binary code static analysis toolkit.
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-[cwe_checker](https://github.com/fkie-cad/cwe_checker) - cwe_checker finds vulnerable patterns in binary executables.
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-[Owi](https://github.com/OCamlPro/owi) - Owi is a toolchain for working with WebAssembly (Wasm) in OCaml, featuring a powerful, parallel symbolic execution engine for Wasm. It also provides frontends for compiling and analyzing C and Rust programs.
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-[Smt.ml](https://github.com/formalsec/smtml) - Smt.ml is a frontend OCaml library that interfaces with multiple SMT solvers, enabling seamless integration of solvers like Z3, cvc5, Colibri2, Bitwuzla, and Alt-Ergo within OCaml programs.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-regex.md
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[`regex`](https://github.com/slevithan/regex) is a lightweight JavaScript library for more readable, high-performance, native JavaScript regexes with powerful features including free spacing, atomic groups, possessive quantifiers, subroutines, subroutine definition groups, and context-aware interpolation.
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[Regex+](https://github.com/slevithan/regex) is a lightweight JavaScript library for more readable, high-performance, native JavaScript regexes with powerful features including free spacing, atomic groups, possessive quantifiers, subroutines, subroutine definition groups, and context-aware interpolation.
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### Alternative regex builders and engines
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-[regex](https://github.com/slevithan/regex) - A template tag for extended, readable, high-performance JavaScript regexes.
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-[Regex+](https://github.com/slevithan/regex) - A template tag for extended, readable, high-performance JavaScript regexes.
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-[Oniguruma-To-ES](https://github.com/slevithan/oniguruma-to-es) - Convert Oniguruma patterns to native JavaScript regexes.
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-[XRegExp](https://github.com/slevithan/xregexp)\[[*home*](https://xregexp.com/)] - Extended regex syntax, flags, and utils; useful for backcompat.
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-[incr-regex-package](https://github.com/nurulc/incr-regex-package) - Partial/incremental matching, used by [react-rxinput](https://github.com/nurulc/react-rxinput) for input validation with a regex mask.
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- Chrome extension: [Regex](https://chromewebstore.google.com/detail/regex/pmihaiejckejbpjdnildimfkpcpnohlo) - Regex search on webpages via `Ctrl+Shift+F`.
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