Robot Updated at:24 Jan 2025 21:10:08 GMT

yiliuyan161 · yiliuyan161 · commit a1b9e4146a36 · 2025-01-24T21:10:08.000Z
diff --git a/docs/awesome/awesome-agi-cocosci.md b/docs/awesome/awesome-agi-cocosci.md
@@ -222,7 +222,6 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht
 
 * [Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling](https://link.springer.com/article/10.1023/A:1007925832420) - ***International Journal of Computer Vision***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=11604954524863138240)]. [[Preprint](https://dash.harvard.edu/bitstream/handle/1/3637117/Mumford_FRAME.pdf?sequence=1)]. This article presents a statistical theory for texture modeling. This theory combines filtering theory and Markov random field modeling through the maximum entropy principle, and interprets and clarifies many previous concepts and methods for texture analysis and synthesis from a unified point of view. The theory characterizes the ensemble of images I with the same texture appearance by a probability distribution f(I) on a random field, and the objective of texture modeling is to make inference about f(I), given a set of observed texture examples.
 
-* [Object Perception as Bayesian Inference](https://www.cs.jhu.edu/~ayuille/pubs/ucla/A189_dkersten_ARP2004.pdf) - ***Annual Review of Psychology***, 2004. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=1611451804975333652)]. Alan Yuille's review on Bayesian object perception.
 
 * [A tale of three probabilistic families: Discriminative, descriptive, and generative models](https://www.ams.org/journals/qam/2019-77-02/S0033-569X-2018-01528-5/home.html) - ***Quarterly of Applied Mathematics***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6129609629126793774)]. [[Preprint](http://www.stat.ucla.edu/~ywu/QAM2018.pdf)]. The pattern theory of Grenander is a mathematical framework where patterns are represented by probability models on random variables of algebraic structures. In this paper, the authors review three families of probability models, namely, the discriminative models, the descriptive models, and the generative models. A discriminative model is in the form of a classifier. It specifies the conditional probability of the class label given the input signal. A descriptive model specifies the probability distribution of the signal, based on an energy function defined on the signal. A generative model assumes that the signal is generated by some latent variables via a transformation. The authors shall review these models within a common framework and explore their connections, and shall also review the recent developments that take advantage of the high approximation capacities of deep neural networks. 
 
diff --git a/docs/awesome/awesome-angular.md b/docs/awesome/awesome-angular.md
@@ -404,6 +404,7 @@ become an Angular expert.
 * [FusionAuth Angular SDK](https://fusionauth.io/docs/sdks/angular-sdk) - [FusionAuth](https://fusionauth.io/) SDK helps manage authentication state for your Angular app and provides functionality to login, register, and logout users. It also can be configured to automatically manage your refresh token.
 * [lbx-jwt](https://github.com/Service-Soft/lbx-jwt) - Provides JWT authentication for loopback applications. Includes storing roles inside tokens and handling refreshing. Built-in reuse detection.
 * [corbado](https://www.corbado.com/#signup-init) - [Integrate](https://docs.corbado.com/corbado-complete/frontend-integration/angular) Corbado with Angular to use passkeys for authentication.
+* [kinde-angular](https://github.com/luukhaijes/kinde-angular) - Angular wrapper around the [Kinde](https://kinde.com/) Typescript [SDK](https://docs.kinde.com/developer-tools/sdks/backend/typescript-sdk/).
 
 #### Builders
 
@@ -1248,6 +1249,7 @@ to simplify usage and allow quick customization.
 * [ngx-flexbox](https://github.com/philipibovo/ngx-flexbox) - Designed as an alternative to [@angular/flexlayout](https://github.com/angular/flex-layout), ngx-flexbox provides Angular developers with component layout features using a custom layout API, media query observables, and injected DOM flexbox-2016 CSS stylings.
 * [ngx-van](https://github.com/otodockal/ngx-van) - Tiny replacement for HTML nav element with mobile side nav menu built-in. Good old nav element on desktop, sliding side nav on mobile. No duplication.
 * [ngx-swipe-menu](https://github.com/charlesschaefer/ngx-swipe-menu) - A component to create "swipe left to 'action'" experiences.
+* [ng-simple-sidebar](https://github.com/secanis/ng-simple-sidebar) - A simple Angular component to generate a sidebar with a hamburger menu.
 
 #### Loaders
 
diff --git a/docs/awesome/awesome-annual-security-reports.md b/docs/awesome/awesome-annual-security-reports.md
@@ -179,6 +179,7 @@ Reports will be classified by a header that describes their primary content or e
 - [Code42](https://www.code42.com/content/2024-data-exposure) - [Annual Data Exposure Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Code42-Annual-Data-Exposure-Report-2024.pdf) (2024)  
   Highlights insider threat risks and trends based on insights from over 700 security professionals.
 - [Immuta](https://www.immuta.com/resources/2024-trendbook/) - [State of Data Security Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Immuta-State-of-Data-Security-Report-2024.pdf) (2024) - Examines the current state of data security, including challenges, trends, and best practices across various industries.
+- [ISACA](https://www.isaca.org/resources/reports/state-of-privacy-2025) - [State of Privacy](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/ISACA-State-of-Privacy-2025.pdf) (2025) - Outlines key trends in global privacy practices, including staffing needs, budget constraints, and the increasing integration of AI in privacy operations.
 - [Proofpoint](https://www.proofpoint.com/us/resources/threat-reports/data-loss-landscape) - [Data Loss Landscape](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Proofpoint-Data-Loss-Landscape-2024.pdf) (2024) - Provides an overview of the data loss landscape, including trends and challenges faced by organizations across various industries.
 - [Proofpoint](https://go.proofpoint.com/2024-Frost-Radar-for-Email-Security.html) - [Global Email Security Market Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Proofpoint-Global-Email-Security-Market-Report-2024.pdf) (2024) - Benchmarks 21 top email security vendors, highlighting growth opportunities and market trends.
 
diff --git a/docs/awesome/awesome-for-beginners.md b/docs/awesome/awesome-for-beginners.md
@@ -124,7 +124,6 @@ If you would like to be guided through how to contribute to a repository on GitH
 - [Codename One](https://github.com/codenameone/CodenameOne) _(label: good first issue)_ <br> Cross-platform mobile app development framework for Java developers
 - [DSA](https://github.com/abhishektripathi66/DSA) _(label: good first issue)_ <br> DSA questions practising repo for Java developers
 - [elasticsearch](https://github.com/elastic/elasticsearch) _(label: good first issue)_ <br> Open Source, Distributed, RESTful Search Engine.
-- [Images-to-PDF](https://github.com/Swati4star/Images-to-PDF) _(label: good first issue)_ <br> An android app to convert images to PDF file.
 - [JabRef](https://github.com/JabRef/jabref) _(label: good first issue)_ <br> Desktop application for managing literature references using modern Java features including JavaFX. Dedicated to code quality and constructive feedback: Each Pull Request is reviewed by two developers to provide high-quality feedback and to ensure high quality of new contributions.
 - [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.
 - [QuestDB](https://github.com/questdb/questdb) _(label: Good first issue)_ <br> Questdb is a fast open source SQL time series database.
diff --git a/docs/awesome/awesome-integration.md b/docs/awesome/awesome-integration.md
@@ -16,14 +16,14 @@ System integration is the process of linking together different IT systems (com
 - [Amplify API Management Platform](https://www.axway.com/en/products/amplify-api-management-platform) - An open platform for API management from Axway, which provides comprehensive API management capabilities and allows you to build, run, and manage APIs with ease.
 - [Apigee](https://cloud.google.com/apigee) - A leading API management solution from Google that provides comprehensive API management capabilities and helps you create, secure, and scale APIs with ease.
 - [Azure API Management](https://azure.microsoft.com/en-us/services/api-management/) - A hybrid, multicloud management platform for APIs across all environments, which enables you to manage APIs with ease, secure them, and gain insights into their performance.
+- [Boomi Cloud API Management](https://developer.mashery.com/) - A cloud-native API platform that enables you to deploy APIs anywhere and manage them from everywhere.
 - [DigitMarket API Manager](https://www.torryharris.com/products/digitmarket-api-manager-for-api-management) - A complete package from Torry Harris that helps you manage your APIs and turn them into tools that can drive your business forward.
 - [Gravitee.io API Management (⭐212)](https://github.com/gravitee-io/gravitee-api-management) - A flexible, lightweight, and open-source API management solution that provides comprehensive API management capabilities and helps you manage your APIs with ease.
 - [IBM API Connect](https://www.ibm.com/cloud/api-connect) - A complete, intuitive, and scalable API platform that allows you to create, expose, manage, and monetize APIs across clouds.
 - [Kong Enterprise](https://konghq.com/products/kong-enterprise) - A comprehensive service connectivity platform that provides a range of API management capabilities and allows you to manage APIs, microservices, and service meshes with ease.
 - [Layer7 API Management](https://www.broadcom.com/products/software/api-management) - A continuous API management solution from Broadcom that provides comprehensive API management capabilities and helps you manage APIs throughout their lifecycle.
 - [Red Hat 3scale API Management](https://www.redhat.com/en/technologies/jboss-middleware/3scale) - A cloud-native API management solution that simplifies the development of APIs and makes them more flexible.
 - [Sensedia API Management](https://www.sensedia.com/api-management-platform) - A full lifecycle API management platform that provides comprehensive API management capabilities and helps you manage APIs throughout their lifecycle.
-- [TIBCO Cloud Mashery](https://www.tibco.com/products/api-management) - A cloud-native API platform from TIBCO that enables you to deploy APIs anywhere and manage them from everywhere.
 - [Tyk API Management](https://tyk.io/api-lifecycle-management/) - A powerful API management solution that allows you to connect, build, and control APIs with ease.
 - [webMethods API](https://www.softwareag.cloud/site/product/webmethods-api.html) - A comprehensive API management solution from Software AG that provides full lifecycle API management capabilities and enables you to manage APIs in both on-premises and cloud environments.
 - [WSO2 API Manager (⭐873)](https://github.com/wso2/product-apim) - A fully open-source API management platform that provides comprehensive API management capabilities and allows you to manage APIs with ease.
diff --git a/docs/awesome/awesome-love2d.md b/docs/awesome/awesome-love2d.md
@@ -218,9 +218,9 @@ A categorized community-driven collection of high-quality, awesome [LÖVE](http:
 * [Bump](https://github.com/kikito/bump.lua) - Collision detection library for Lua.
 * [HC](https://hc.readthedocs.io/en/latest/) - Collision detection with arbitrary polygons; allows rotation of objects.
 * [loveblobs](https://github.com/exezin/loveblobs) - A softbody library with support for both dynamic and static arbitrary softbodies.
+* [slick](https://github.com/erinmaus/slick/) - A simple to use polygon collision library inspired by bump.lua.
 * [Strike](https://github.com/Aweptimum/Strike) - 2D collision detection library. Extendable, based on Separating-Axis-Theorem.
 
-
 ## Platforms
 *Ports for Platforms other than the ones officially supported by LÖVE*
 
diff --git a/docs/awesome/awesome-neovim.md b/docs/awesome/awesome-neovim.md
@@ -456,6 +456,7 @@
 - [moyiz/command-and-cursor.nvim](https://github.com/moyiz/command-and-cursor.nvim) - Highlight cursor and visual selections when entering command mode.
 - [rachartier/tiny-devicons-auto-colors.nvim](https://github.com/rachartier/tiny-devicons-auto-colors.nvim) - Automatically updates nvim-web-devicons colors based on your current colorscheme.
 - [TaDaa/vimade](https://github.com/TaDaa/vimade) - Dim, fade, tint, animate, and customize colors in your windows and buffers.
+- [xzbdmw/colorful-menu.nvim](https://github.com/xzbdmw/colorful-menu.nvim) - Colorize your auto completion menu using Tree-sitter.
 
 <!--lint disable double-link -->
 
@@ -868,7 +869,6 @@ These colorschemes may not specialize in Tree-sitter directly but are written in
 - [dzfrias/arena.nvim](https://github.com/dzfrias/arena.nvim) - A smart (frecency-based) buffer switcher.
 - [MisanthropicBit/decipher.nvim](https://github.com/MisanthropicBit/decipher.nvim) - Encode and decode text using various codecs such as base64.
 - [philosofonusus/ecolog.nvim](https://github.com/philosofonusus/ecolog.nvim) - Sophisticated all-in-one toolkit to work with `.env` files and environment variables.
-- [MatanyaP/keyboard-guard.nvim](https://github.com/matandd/keyboard-guard.nvim) - Prevents unintended actions when typing in non-English keyboard layouts.
 
 ### CSV Files
 
diff --git a/docs/awesome/awesome-roadmaps.md b/docs/awesome/awesome-roadmaps.md
diff --git a/docs/awesome/computer-science.md b/docs/awesome/computer-science.md
diff --git a/docs/awesome/free-for-dev.md b/docs/awesome/free-for-dev.md

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`@@ -222,7 +222,6 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht`
`222`	`222`
`223`	`223`	* [Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling](https://link.springer.com/article/10.1023/A:1007925832420) - *International Journal of Computer Vision*, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=11604954524863138240)]. [[Preprint](https://dash.harvard.edu/bitstream/handle/1/3637117/Mumford_FRAME.pdf?sequence=1)]. This article presents a statistical theory for texture modeling. This theory combines filtering theory and Markov random field modeling through the maximum entropy principle, and interprets and clarifies many previous concepts and methods for texture analysis and synthesis from a unified point of view. The theory characterizes the ensemble of images I with the same texture appearance by a probability distribution f(I) on a random field, and the objective of texture modeling is to make inference about f(I), given a set of observed texture examples.
`224`	`224`
`225`		`-* [Object Perception as Bayesian Inference](https://www.cs.jhu.edu/~ayuille/pubs/ucla/A189_dkersten_ARP2004.pdf) - *Annual Review of Psychology*, 2004. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=1611451804975333652)]. Alan Yuille's review on Bayesian object perception.`
`226`	`225`
`227`	`226`	* [A tale of three probabilistic families: Discriminative, descriptive, and generative models](https://www.ams.org/journals/qam/2019-77-02/S0033-569X-2018-01528-5/home.html) - *Quarterly of Applied Mathematics*, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6129609629126793774)]. [[Preprint](http://www.stat.ucla.edu/~ywu/QAM2018.pdf)]. The pattern theory of Grenander is a mathematical framework where patterns are represented by probability models on random variables of algebraic structures. In this paper, the authors review three families of probability models, namely, the discriminative models, the descriptive models, and the generative models. A discriminative model is in the form of a classifier. It specifies the conditional probability of the class label given the input signal. A descriptive model specifies the probability distribution of the signal, based on an energy function defined on the signal. A generative model assumes that the signal is generated by some latent variables via a transformation. The authors shall review these models within a common framework and explore their connections, and shall also review the recent developments that take advantage of the high approximation capacities of deep neural networks.
`228`	`227`