Robot Updated at:1 Dec 2024 21:10:25 GMT

Author: yiliuyan161

docs/awesome/amas.md

@@ -108,7 +108,6 @@
 - [Tim Smith](https://github.com/smithtimmytim/ama) - Front-end designer, nerd, and recovering coffee addict.
 - [Sam Verschueren](https://github.com/SamVerschueren/ama) - Full stack JavaScript developer and open source contributor.
 - [Haroen Viaene](https://github.com/Haroenv/ama) - Student mostly doing JS, open source everything, creating stuff at bullgit.
-- [Arjun Mayilvaganan](https://github.com/arjunmayilvaganan/ama) - Senior Year Student at CEG. Striving to make it as a Full stack developer.
 - [Kundan Singh](https://github.com/kundansingh1/ama) - Full Stack Javascript Developer, Biker, Traveller, Photographer.
 - [Michael Novotny](https://github.com/manovotny/ama) - JavaScript developer. Open source contributor. Insatiable learner. Standards and best practices enthusiast. Development is a lifestyle, not a job.
 - [Artem Sapegin](https://github.com/sapegin/ama) - Frontend developer at Here, creator of React Styleguidist and passionate photographer.

docs/awesome/awesome-agi-cocosci.md

@@ -190,7 +190,7 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht
 
 * [Bayesian modeling of human concept learning](https://proceedings.neurips.cc/paper_files/paper/1998/hash/d010396ca8abf6ead8cacc2c2f2f26c7-Abstract.html) - ***NeurIPS'98***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=3772493362518191863)]. [[Preprint](http://web.mit.edu/cocosci/archive/Papers/bayes.pdf)]. This work considers the problem of learning concepts from small numbers of positive examples, a feat which humans perform routinely but which computers are rarely capable of. Bridging machine learning and cognitive science perspectives, this work presents both theoretical analysis and an empirical study with human subjects for the simple task oflearning concepts corresponding to axis-aligned rectangles in a multidimensional feature space. Existing learning models, when applied to this task, cannot explain how subjects generalize from only a few examples of the concept. The author proposes a principled Bayesian model based on the assumption that the examples are a random sample from the concept to be learned. The model gives precise fits to human behavior on this simple task and provides qualitati ve insights into more complex, realistic cases of concept learning.
 
-* [Rules and Similarity in Concept Learning](http://web.mit.edu/cocosci/archive/Papers/nips99preprint.pdf) - ***NeurIPS'99***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=10968021160883668417&hl=en&as_sdt=0,5)]. Unifying rule-based and similarity-based generalization via Bayesian generalization.
+* [Rules and Similarity in Concept Learning](https://proceedings.neurips.cc/paper/1999/hash/86d7c8a08b4aaa1bc7c599473f5dddda-Abstract.html) - ***NeurIPS'99***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=10968021160883668417)]. [[Preprint](http://web.mit.edu/cocosci/archive/Papers/nips99preprint.pdf)]. This paper argues that two apparently distinct modes of generalizing concepts - abstracting rules and computing similarity to exemplars - should both be seen as special cases of a more general Bayesian learning framework. Bayes explains the specific workings of these two modes - which rules are abstracted, how similarity is measured - as well as why generalization should appear rule- or similarity-based in different situations. This analysis also suggests why the rules/similarity distinction, even if not computationally fundamental, may still be useful at the algorithmic level as part of a principled approximation to fully Bayesian learning.
 
 * [Theory-based Bayesian models of inductive learning and reasoning](https://www.cell.com/AJHG/fulltext/S1364-6613(06)00134-3) - ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=6741344960992898446)]. [[Preprint](http://www.charleskemp.com/papers/TenenbaumGK06.pdf)]. Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional accounts of induction emphasize either the power of statistical learning, or the importance of strong constraints from structured domain knowledge, intuitive theories or schemas. This paper argues that both components are necessary to explain the nature, use and acquisition of human knowledge, and the authors introduce a theory-based Bayesian framework for modeling inductive learning and reasoning as statistical inferences over structured knowledge representations. 
 

docs/awesome/awesome-angular.md

@@ -567,6 +567,7 @@ become an Angular expert.
 * [ngx-surreal](https://github.com/vandaeldev/ngx-surreal) - Lightweight Angular wrapper for the [SurrealDB](https://surrealdb.com/) JavaScript SDK.
 * [ngx-filesize](https://github.com/amitdahan/ngx-filesize) - Angular wrapper for [filesize.js](https://filesizejs.com/).
 * [ngx-intercom-messenger](https://github.com/MaximBelov/ngx-intercom-messenger) - Angular 18+ Wrapper for [@intercom/messenger-js-sdk](https://www.npmjs.com/package/@intercom/messenger-js-sdk).
+* [ngx-katex](https://github.com/pusherman/ngx-katex) - A simple Angular wrapper for [KaTeX](https://github.com/KaTeX/KaTeX).
 
 #### Internationalization
 
@@ -1191,6 +1192,7 @@ to simplify usage and allow quick customization.
 * [ngx-action-logger](https://github.com/TALRACE/ngx-action-logger) - Logger for Angular applications, capable of both outputting data to the console or sending data to elastic.
 * [@Xilerth/ngx-logger](https://github.com/Xilerth/ngx-logger) - This library empowers developers to seamlessly integrate custom logging solutions tailored to their specific requirements, enabling efficient debugging, monitoring, and analytics.
 * [pretty-html-log](https://github.com/angular-extensions/pretty-html-log) - A module that allows you to pretty print the inner HTML of ComponentFixtures, DebugElements, NativeElements or even plain HTML strings to the console. This is very useful for debugging Angular component tests in Jest.
+* [log4ngx](https://github.com/secondbounce/log4ngx) - A Typescript logging framework for Angular projects, based on concepts used in Log4j, Log4net, etc.
 
 #### Maps
 
@@ -1335,6 +1337,7 @@ to simplify usage and allow quick customization.
 * [ng](https://github.com/bitfiber/ng) - An Angular-specific extension of [@bitfiber/rx](https://github.com/bitfiber/rx) built on top of RxJS, designed to manage reactive state, asynchronous workflows, and events in Angular applications. It provides a structured approach to handling complex data flows using emitters, states, groups, and stores, allowing seamless integration of various reactive sources like emitters, states, and observables.
 * [ngx-crud](https://github.com/henryruhs/ngx-crud) - CRUD services in Angular with effortless aborting, caching and observing.
 * [ngx-simple-state-manager](https://github.com/notnikola1/ngx-simple-state-manager) - Component-bound simple to handle state managment that is accessible application wide with type support and an observer to handle any reactive state changes if and when needed.
+* [ngx-state-machine](https://github.com/state-management/ngx-state-machine) -  An Angular wrapper for the [simple-state-machine](https://www.npmjs.com/package/@state-management/simple-state-machine) library. It integrates the state machine into Angular applications by making the `StateMachine` injectable as a service.
 
 #### Storage
 

docs/awesome/awesome-astrophotography.md

@@ -60,6 +60,7 @@ Contributions are welcome. Please read the [contributing guideline](https://gith
 - [Light Vortex Astronomy's PixInsight tutorials](https://web.archive.org/web/20230509214425/https://www.lightvortexastronomy.com/tutorials.html) - An extensive collection of tutorials covering both pre- and post-processing workflows.
 - [Orion Nebula (M42) with a DSLR, Start to Finish](https://www.youtube.com/watch?v=Qb1ceFM-DkQ) - A complete walk-through. From planning to post-processing.
 - [RGB Stars From Narrowband Data](https://aiastro.wordpress.com/2020/06/02/rgb-stars-from-narroband-data/) - Narrowband palettes such as SHO, HOO, etc. produce uncalibrated stars. One way to fix star color is to shoot also in RGB, then blend. In this article, Alberto Ibañez suggests another approach that uses the already acquired narrowband data to achieve the same.
+- [Removing Color Artefacts From OSC Images](https://www.astroworldcreations.com/blog/removing-colour-artefacts-from-osc-images) - On his blog, Willem Jan Drijfhout explains how to remove color artefacts from images captured with a One-Shot-Color camera.
 - [Stacking Multiple Sessions in DSS - The Correct Way](https://www.youtube.com/watch?v=cmDy80d2krk) - Even though it's from year 2012, this video on stacking multiple imaging sessions is still relevant today.
 
 

docs/awesome/awesome-developer-first.md

@@ -258,6 +258,7 @@ For the latest additions [click here](https://github.com/agamm/awesome-developer
 * [Helicone AI](https://www.helicone.ai/) - LLM observabilty and monitoring for your LLM apps in production. [![Helicone AI](https://img.shields.io/github/stars/helicone/helicone?style=flat-square&logo=github&labelColor=%230D1117&color=%23161B22)](https://github.com/Helicone/helicone)
 * [Highlight.io](https://www.highlight.io/) - Full-stack monitoring platform. [![Highlight.io](https://img.shields.io/github/stars/highlight/highlight?style=flat-square&logo=github&labelColor=%230D1117&color=%23161B22)](https://github.com/highlight/highlight)
 * [KeenIO](https://keen.io/) - Event streaming platform.
+* [Keywords AI](https://www.keywordsai.co/) - The enterprise-grade software to build, monitor, and improve your AI application. Keywords AI is a full-stack LLM engineering platform for developers and PMs.
 * [Langfuse](https://langfuse.com/) - Open-source LLM observability platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. [#opensource](https://github.com/langfuse/langfuse) [![Langfuse](https://img.shields.io/github/stars/langfuse/langfuse?style=flat-square&logo=github&labelColor=%230D1117&color=%23161B22)](https://github.com/langfuse/langfuse)
 * [LogRocket](https://logrocket.com/) - Replay bugs users had.
 * [Opik](https://www.comet.com/site/products/opik/) - Evaluate, test, and ship LLM applications across your dev and production lifecycles. [![Comet](https://img.shields.io/github/stars/comet-ml/opik?style=flat-square&logo=github&labelColor=%230D1117&color=%23161B22)](https://github.com/comet-ml/opik)

docs/awesome/awesome-docker.md

@@ -812,8 +812,6 @@ Services to securely store your Docker images.
 
 [![Stargazers over time](https://starchart.cc/veggiemonk/awesome-docker.svg)](https://starchart.cc/veggiemonk/awesome-docker)
 
-## Contributor over time
-
 [contributing]: https://github.com/veggiemonk/awesome-docker/blob/master/.github/CONTRIBUTING.md
 [akito]: https://github.com/theAkito
 [calico]: https://github.com/projectcalico/calico
@@ -824,7 +822,7 @@ Services to securely store your Docker images.
 [deepfence]: https://github.com/deepfence
 [distribution]: https://github.com/docker/distribution
 [docker-flow]: https://github.com/docker-flow
-[docker-for-windows]: https://docs.docker.com/desktop/install/windows-install/
+[docker-for-windows]: https://docs.docker.com/desktop/setup/install/windows-install/
 [docker]: https://github.com/docker
 [editreadme]: https://github.com/veggiemonk/awesome-docker/edit/master/README.md
 [fgrehm]: https://github.com/fgrehm

docs/awesome/awesome-go.md

@@ -761,6 +761,7 @@ _Libraries for building and using SQL._
 - [go-elasticsearch](https://github.com/elastic/go-elasticsearch) - Official Elasticsearch client for Go.
 - [goes](https://github.com/OwnLocal/goes) - Library to interact with Elasticsearch.
 - [skizze](https://github.com/seiflotfy/skizze) - probabilistic data-structures service and storage.
+- [zoekt](https://github.com/sourcegraph/zoekt) - Fast trigram based code search.
 
 
 ## Date and Time
@@ -1069,7 +1070,7 @@ _Awesome game development libraries._
 - [nano](https://github.com/lonng/nano) - Lightweight, facility, high performance golang based game server framework.
 - [Oak](https://github.com/oakmound/oak) - Pure Go game engine.
 - [Pitaya](https://github.com/topfreegames/pitaya) - Scalable game server framework with clustering support and client libraries for iOS, Android, Unity and others through the C SDK.
-- [Pixel](https://github.com/faiface/pixel) - Hand-crafted 2D game library in Go.
+- [Pixel](https://github.com/gopxl/pixel) - Hand-crafted 2D game library in Go.
 - [prototype](https://github.com/gonutz/prototype) - Cross-platform (Windows/Linux/Mac) library for creating desktop games using a minimal API.
 - [raylib-go](https://github.com/gen2brain/raylib-go) - Go bindings for [raylib](https://www.raylib.com/), a simple and easy-to-use library to learn videogames programming.
 - [termloop](https://github.com/JoelOtter/termloop) - Terminal-based game engine for Go, built on top of Termbox.
@@ -2099,6 +2100,7 @@ _Libraries that are used to help make your application more secure._
 - [optimus-go](https://github.com/pjebs/optimus-go) - ID hashing and Obfuscation using Knuth's Algorithm.
 - [passlib](https://github.com/hlandau/passlib) - Futureproof password hashing library.
 - [passwap](https://github.com/zitadel/passwap) - Provides a unified implementation between different password hashing algorithms
+- [qrand](https://github.com/bitfield/qrand) - Client for the ANU Quantum Numbers (AQN) API, providing quantum-mechanically secure random data.
 - [secret](https://github.com/rsjethani/secret) - Prevent your secrets from leaking into logs, std\* etc.
 - [secure](https://github.com/unrolled/secure) - HTTP middleware for Go that facilitates some quick security wins.
 - [secureio](https://github.com/xaionaro-go/secureio) - An keyexchanging+authenticating+encrypting wrapper and multiplexer for `io.ReadWriteCloser` based on XChaCha20-poly1305, ECDH and ED25519.
@@ -2425,9 +2427,9 @@ See also [Natural Language Processing](#natural-language-processing) and [Text A
 _Libraries for accessing third party APIs._
 
 - [airtable](https://github.com/mehanizm/airtable) - Go client library for the [Airtable API](https://airtable.com/api).
-- [amazon-product-advertising-api](https://github.com/ngs/go-amazon-product-advertising-api) - Go Client Library for [Amazon Product Advertising API](https://affiliate-program.amazon.com/gp/advertising/api/detail/main.html).
 - [anaconda](https://github.com/ChimeraCoder/anaconda) - Go client library for the Twitter 1.1 API.
 - [appstore-sdk-go](https://github.com/Kachit/appstore-sdk-go) - Unofficial Golang SDK for AppStore Connect API.
+- [aws-encryption-sdk-go](https://github.com/chainifynet/aws-encryption-sdk-go) - Unofficial Go SDK implementation of the [AWS Encryption SDK](https://docs.aws.amazon.com/encryption-sdk/latest/developer-guide/index.html).
 - [aws-sdk-go](https://github.com/aws/aws-sdk-go-v2) - The official AWS SDK for the Go programming language.
 - [bqwriter](https://github.com/OTA-Insight/bqwriter) - High Level Go Library to write data into [Google BigQuery](https://cloud.google.com/bigquery) at a high throughout.
 - [brewerydb](https://github.com/naegelejd/brewerydb) - Go library for accessing the BreweryDB API.

docs/awesome/awesome-graphql.md

@@ -643,7 +643,6 @@ If you want to contribute to this list (please do), send me a pull request.
 ### Tools - Prototyping
 
 - [GraphQL Faker](https://github.com/APIs-guru/graphql-faker) - 🎲 Mock or extend your GraphQL API with faked data. No coding required.
-- [GraphQL Designer](http://graphqldesigner.com/) - A developer's web-app tool to rapidly prototype a full stack CRUD implementation of GraphQL with React.
 
 ### Tools - Docs
 

docs/awesome/awesome-plotters.md

@@ -98,6 +98,7 @@ Software for controlling plotter hardware.
 - [saxi](https://github.com/nornagon/saxi) - Driver and library for the AxiDraw. Uses constant-acceleration motion planning and automatically resizes to paper.
 - [MP2300-Tools](https://github.com/Jan--Henrik/MP2300-Tools) - Software for converting HPGL to Graphtec's GPGL format, as well as CAD files for a Graphtec plotter pen adapter.
 - [Inkcut](https://github.com/inkcut/inkcut) - Application for controlling 2D plotters, cutters, engravers, and CNC machines.
+- [pypenwriter](https://github.com/Lana-chan/pypenwriter) - Python script to convert and send SVG drawings to the Panasonic PenWriter family of typewriter plotters.
 
 ### Vector Creation
 
@@ -135,6 +136,11 @@ Tools to create vector artwork from scratch or by conversion from other formats.
 - [plotting-maps](https://github.com/piebro/plotting-maps) - A simple web tool to create OpenStreetMap SVG maps for plotting.
 - [ThreadPlotter](https://github.com/LiciaHe/threadPlotter) - "A toolkit for the design and fabrication of delicate punch needle embroidery using X-Y plotters".
 - [PINTR](https://javier.xyz/pintr) - Plottable random line drawings from your images.
+- [REVDANCATT Plotter Tools](https://revdancatt.com/penplotter/) - A bunch of web-based pen plotter tools with SVG output.
+- [Flow Lines](https://msurguy.github.io/flow-lines/) - A tool for generating flow line representations using SVG paths / polylines.
+- [UJI](https://doersino.github.io/uji/) - A web-based generative art thing with SVG export.
+- [Studio](https://u840903.github.io/multiplication-mandalas/) - A web-based tool for creating multiplication mandalas.
+- [Rad Lines](https://msurguy.github.io/rad-lines/) - A web-based radial lines vector generation tool with SVG export.
 
 ### Vector Utilities
 
@@ -343,23 +349,16 @@ Where to find other plotter and drawbot friends.
 
 ## Plotter Art For Sale
 
-- [Paul Rickards](https://shop.paulrickards.com)
-- [Michael Fogleman](https://www.michaelfogleman.com/plotter)
-- [inconvergent](http://buy.inconvergent.net)
-- [Monica Rizzolli](https://www.saatchiart.com/account/artworks/155196)
-- [EmergentDesign](https://emergentdesign.bigcartel.com/products)
-- [BustBright](https://mkt.com/bustbright)
-- [Martin O'Leary](https://shop.mewo2.com)
-- [Geoffrey Bradway](https://www.chromatocosmos.com/)
-- [brubsby](http://shop.brubsby.com/)
+- [Adam Fuhrer](https://adamfuhrer.bigcartel.com)
+- [AndyMakes](https://shop.andymakes.com/)
 - [Arjan van der Meij](https://dutchplottr.nl/en/)
-- [Nadieh Bremer](https://shop.visualcinnamon.com/collections/pen-plotter-prints)
+- [EmergentDesign](https://emergentdesign.bigcartel.com/products)
+- [inconvergent](http://buy.inconvergent.net)
+- [Ingrid Burrington](https://wares.lifewinning.com)
+- [Michael Fogleman](https://www.michaelfogleman.com/plotter)
 - [Michelle Chandra](https://www.dirtalleydesign.com/)
+- [Paul Rickards](https://shop.paulrickards.com)
 - [Pedro Alcocer](https://store.pedroalcocer.com/)
-- [AndyMakes](https://shop.andymakes.com/)
-- [Marcel Schwittlick](https://schwittlick.bigcartel.com/)
-- [Adam Fuhrer](https://adamfuhrer.bigcartel.com)
-- [Ingrid Burrington](https://wares.lifewinning.com)
 
 ## Other Awesomes