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‎docs/awesome/awesome-agi-cocosci.md

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#### Bayesian Optimization
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* [Taking the Human Out of the Loop: A Review of Bayesian Optimization](https://www.cs.princeton.edu/~rpa/pubs/shahriari2016loop.pdf) - ***Proceedings of the IEEE***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=2039456143890648437&hl=en&as_sdt=0,5)].
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* [Taking the Human Out of the Loop: A Review of Bayesian Optimization](https://ieeexplore.ieee.org/abstract/document/7352306) - ***Proceedings of the IEEE***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=2039456143890648437)]. [[Preprint](https://www.cs.princeton.edu/~rpa/pubs/shahriari2016loop.pdf)]. Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such systems involves many distributed design choices. The end products (e.g., recommendation systems, medical analysis tools, real-time game engines, speech recognizers) thus involve many tunable configuration parameters. These parameters are often specified and hard-coded into the software by various developers or teams. If optimized jointly, these parameters can result in significant improvements. Bayesian optimization is a powerful tool for the joint optimization of design choices that is gaining great popularity in recent years. It promises greater automation so as to increase both product quality and human productivity. This review paper introduces Bayesian optimization, highlights some of its methodological aspects, and showcases a wide range of applications.
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* [Practical Bayesian Optimization of Machine Learning Algorithms](https://proceedings.neurips.cc/paper/2012/file/05311655a15b75fab86956663e1819cd-Paper.pdf) - ***NeurIPS'12***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=14442949298925775705&hl=en&as_sdt=0,5)]. The original paper for applying Bayesian optimization to machine learning hyperparameter selection.
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‎docs/awesome/awesome-angular.md

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* [ngx-piwik-pro](https://github.com/PiwikPRO/ngx-piwik-pro) - Dedicated [Piwik PRO](https://piwik.pro/) library that helps with implementing Piwik PRO Tag Manager and the Piwik PRO tracking client in Angular 8+ applications.
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* [ngx-material-tracking](https://github.com/Service-Soft/ngx-material-tracking) - Provides gdpr-compliant tracking functionality for Angular websites. Google Analytics and Meta Pixel are supported out of the box, but you are also able to build your own tracking.
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* [ngx-segment-analytics](https://github.com/opendecide/ngx-segment-analytics) - Provides an API for [Segment](https://github.com/segmentio/analytics-next/).
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* [ngx-meta-pixel](https://github.com/Szymonexis/ngx-meta-pixel) - This package enables you to setup [Meta Pixel](https://www.facebook.com/business/tools/meta-pixel) for your Angular application.
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#### Authentication
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* [skeletonizer](https://github.com/lukaVarga/skeletonizer) - A lightweight package that provides a simple way to create skeletonized views for your application. It has adapters for Vue and Angular and is highly customizable and easy to use.
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* [dz-ngx-element](https://github.com/zdigambar/dz-ngx-element) - [NgxElement](https://www.npmjs.com/package/@zdigambar/ngx-element) enables to lazy load Angular components in non-angular applications. The library will register a custom element to which you can pass an attribute to specify what component you want to load.
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* [ngx-loading-overlay](https://github.com/shaman-apprentice/ngx-loading-overlay) - An Angular directive adding a loading overlay to your HTML.
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* [square-progress](https://github.com/mominrazashahid/square-progress) - Square progress bar with animation.
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#### Loggers
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‎docs/awesome/awesome-annual-security-reports.md

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- [ENISA](https://www.enisa.europa.eu/publications/enisa-threat-landscape-2024) - [Threat Landscape Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/ENISA-Threat-Landscape-2024.pdf) (2024) - An annual summary of key cybersecurity threats, trends, and attack techniques. It examines threat actors, motivations, impacts, and suggests mitigation strategies.
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- [Ensign](https://www.ensigninfosecurity.com/resources/threat-insights/cyber-threat-landscape-report-2024) - [Cyber Threat Landscape Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Ensign-Cyber-Threat-Landscape-Report-2024.pdf) (2024) - Analysis of key cyber threats across Asia, focusing on Singapore, Malaysia, Indonesia, South Korea, Australia, and Greater China.
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- [Expel](https://expel.com/annual-threat-report/) - [Annual Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Expel-Annual-Threat-Report-2024.pdf) (2024) - Provides an overview of cyber threats and attack trends observed by Expel's security operations team throughout the year.
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- [FBI](https://www.ic3.gov/Home/AnnualReports) - [Internet Crime Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/FBI-Internet-Crime-Report-2023.pdf) (2023) - Examines cybercrime complaints to protect the public, track trends, support investigations, and promote awareness of internet-facilitated crimes.
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- [FBI](https://www.ic3.gov/AnnualReport/Reports) - [Internet Crime Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/FBI-Internet-Crime-Report-2023.pdf) (2023) - Examines cybercrime complaints to protect the public, track trends, support investigations, and promote awareness of internet-facilitated crimes.
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- [Flashpoint](https://flashpoint.io/resources/report/2024-global-threat-intelligence-report/) - [Global Threat Intelligence Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Flashpoint-Threat-Intel-Report-2024.pdf) (2024) - A comprehensive analysis of global cyber threats, providing insights into threat actor motivations, tactics, and emerging attack trends.
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- [Flashpoint](https://flashpoint.io/resources/report/2024-cyber-threat-intelligence-index/) - [Midyear Cyber Threat Index](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Flashpoint-Midyear-CTI-Index-2024.pdf) (2024) - Provides a snapshot of current cyber threat trends, offering insights into evolving attack patterns and threat actor activities.
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- [Fortinet](https://www.fortinet.com/resources/analyst-reports/threat-report-2h-2023) - [Global Threat Landscape Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/Fortinet-Global-Threat-Report-2H-2023.pdf) (2023) - Analyzes global cyber threats and attack trends, offering insights into emerging vulnerabilities, malware variants, and strategies for improving organizational cybersecurity.

‎docs/awesome/awesome-go.md

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- [net](https://golang.org/x/net) - This repository holds supplementary Go networking libraries.
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- [netpoll](https://github.com/cloudwego/netpoll) - A high-performance non-blocking I/O networking framework, which focused on RPC scenarios, developed by ByteDance.
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- [NFF-Go](https://github.com/intel-go/nff-go) - Framework for rapid development of performant network functions for cloud and bare-metal (former YANFF).
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- [packet](https://github.com/aerogo/packet) - Send packets over TCP and UDP. It can buffer messages and hot-swap connections if needed.
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- [peerdiscovery](https://github.com/schollz/peerdiscovery) - Pure Go library for cross-platform local peer discovery using UDP multicast.
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- [portproxy](https://github.com/aybabtme/portproxy) - Simple TCP proxy which adds CORS support to API's which don't support it.
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- [psql-wire](https://github.com/jeroenrinzema/psql-wire) - PostgreSQL server wire protocol. Build your own server and start serving connections..

‎docs/awesome/awesome-neovim.md

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- [milanglacier/yarepl.nvim#aider-extensions](https://github.com/milanglacier/yarepl.nvim/blob/main/extensions/README.md) - Integration with [aider-chat](https://aider.chat), a TUI AI coding assistant.
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- [Davidyz/VectorCode](https://github.com/davidyz/vectorcode) - Supercharge your LLM experience with repository-level RAG.
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- [dlants/magenta.nvim](https://github.com/dlants/magenta.nvim) - Leverage coding assistants for chat and code generation. Provides tools for the AI/LLM agent to explore and edit your code, like Aider, Cursor and Windsurf.
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- [claudius.nvim](https://github.com/StanAngeloff/claudius.nvim) - Text-based interface for chatting with Claude AI directly in your buffer.
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<!--lint disable double-link -->
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- [theKnightsOfRohan/hexer.nvim](https://github.com/theKnightsOfRohan/hexer.nvim) - Easily convert between binary representations without a conversion table.
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- [rachartier/tiny-glimmer.nvim](https://github.com/rachartier/tiny-glimmer.nvim/) - Adds subtle animations to various operations.
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- [neanvo/buben.nvim](https://github.com/neanvo/buben.nvim) - Human-readable names to blockchain(eth) addresses.
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- [josephburgess/nvumi](https://github.com/josephburgess/nvumi) - Natural language calculator in a scratch buffer.
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### CSV Files
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‎docs/awesome/awesome-pocketbase.md

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- [PocketBase Typegen](https://github.com/patmood/pocketbase-typegen) - Generate TypeScript types from the SQLite db file. ![GitHub Repo stars](https://img.shields.io/github/stars/patmood/pocketbase-typegen)
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- [typed-pocketbase](https://github.com/david-plugge/typed-pocketbase) - Generate types from your PocketBase instance and enjoy fully type-safe queries. ![GitHub Repo stars](https://img.shields.io/github/stars/david-plugge/typed-pocketbase)
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- [pocketbase-ts](https://github.com/satohshi/pocketbase-ts) - SDK wrapper with more readable `options` syntax and full type-safety. ![GitHub Repo stars](https://img.shields.io/github/stars/satohshi/pocketbase-ts)
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- [pocketbase-query](https://github.com/emresandikci/pocketbase-query) - is a TypeScript-based query builder designed to generate complex filter queries for PocketBase. It allows for easy construction of queries using various operators while maintaining a fluent and chainable API. ![GitHub Repo stars](https://img.shields.io/github/stars/emresandikci/pocketbase-query)
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## SQLite tools
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‎docs/awesome/awesome-selfhosted.md

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- [Just Short It!](https://github.com/miawinter98/just-short-it) - A KISS, single-user URL shortener that runs in just one container. `MIT` `Docker`
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- [liteshort](https://git.ikl.sh/132ikl/liteshort) - User-friendly, actually lightweight, and configurable URL shortener. `MIT` `Python/deb`
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- [Lstu](https://github.com/ldidry/lstu) - Lightweight URL shortener. `WTFPL` `Perl/Docker`
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- [Lynx](https://getlynx.dev) - URL shortener with many functions such as multiple accounts, ShareX support and an attractive but simple interface. ([Demo](https://demo.getlynx.dev), [Source Code](https://github.com/Lynx-Shortener/Lynx)) `MIT` `Nodejs/Docker`
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- [rs-short](https://git.42l.fr/42l/rs-short) - A lightweight link shortener written in Rust, with features such as caching, spambot protection and phishing detection. ([Demo](https://s.42l.fr/)) `MPL-2.0` `Rust`
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- [Shlink](https://shlink.io) - URL shortener with REST API and command line interface. Includes official progressive web application and docker images. ([Source Code](https://github.com/shlinkio/shlink), [Clients](https://shlink.io/apps)) `MIT` `PHP/Docker`
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- [Simple-URL-Shortener](https://github.com/azlux/Simple-URL-Shortener) - KISS URL shortener, public or private (with account). Minimalist and lightweight. No dependencies. ([Demo](https://u.azlux.fr)) `MIT` `PHP`

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