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docs/awesome/awesome-agi-cocosci.md

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* [Nonparametric Bayesian Logic](https://dl.acm.org/doi/abs/10.5555/3020336.3020347) - ***UAI'05***, 2005. [[All Versions](https://scholar.google.com/scholar?cluster=18267211625980322095)]. [[Preprint](https://www.cs.ubc.ca/~nando/papers/npblog.pdf)]. The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in AI, including data association and population estimation. This paper extends BLOG by adopting generative processes over function spaces — known as nonparametrics in the Bayesian literature. This work introduces syntax for reasoning about arbitrary collections of objects, and their properties, in an intuitive manner. By exploiting exchangeability, distributions over unknown objects and their attributes are cast as Dirichlet processes, which resolve difficulties in model selection and inference caused by varying numbers of objects.
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* [Infinite Hidden Relational Models](https://www.dbs.ifi.lmu.de/~yu_k/uai06_relation.pdf) - ***UAI'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=2143172296528388141&hl=en&as_sdt=2005&sciodt=0,5)].
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* [Infinite Hidden Relational Models](https://dl.acm.org/doi/abs/10.5555/3020419.3020485) - ***UAI'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=2143172296528388141)]. [[Preprint](https://www.dbs.ifi.lmu.de/~yu_k/uai06_relation.pdf)]. Relational learning analyzes the probabilistic constraints between the attributes of entities and relationships. This work extends the expressiveness of relational models by introducing for each entity (or object) an infinite-dimensional latent variable as part of a Dirichlet process (DP) mixture model. This work discusses inference in the model, which is based on a DP Gibbs sampler, i.e., the Chinese restaurant process. The authors extended the Chinese restaurant process to be applicable to relational modeling.
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* [Statistical Predicate Invention](https://alchemy.cs.washington.edu/papers/kok07/kok07.pdf) - ***ICML'07***, 2007. [[All Versions](https://scholar.google.com/scholar?cluster=17009312281859401704&hl=en&as_sdt=2005&sciodt=0,5)]. Treating predicate invention as a non-parametric problem, in the account of statistics.
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docs/awesome/awesome-angular.md

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* [hasura](https://github.com/hasura/learn-graphql) - Real world GraphQL tutorials for frontend developers with deadlines!
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* [tailcall](https://tailcall.run/blog/graphql-angular-client/) - This comprehensive guide dives into five powerful approaches for integrating GraphQL into your Angular applications.
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* [apollo-orbit](https://github.com/wassim-k/apollo-orbit) - A fully-featured GraphQL client for Angular with modular state management.
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* [takeshape](https://www.takeshape.io/) - It's easy to build a GraphQL API using TakeShape. Integrating with an Angular project is easy, and you can follow this [guide](https://app.takeshape.io/docs/get-started/client/angular).
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#### HTTP
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* [ngs-request-tracker](https://github.com/andrei-shpileuski/ngs-request-tracker) - A library for tracking, storing, and displaying statistics on all HTTP requests.
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* [ngx-pwa](https://github.com/Service-Soft/ngx-pwa) - Provides additional functionality around Angular pwa's. Most notably being able to cache and sync POST/PATCH/DELETE Requests.
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* [ngx-repository](https://github.com/paddls/ngx-repository) - Easily create a strongly typed data client (HTTP REST or Firestore) in your Angular project.
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* [ng-rest-client](https://github.com/gizm0bill/gzm/tree/master/libs/ng-rest-client) - This library provides a set of decorators for simplifying HTTP requests. It enables developers to define RESTful API clients using decorators for common HTTP methods.
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#### Integrations
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* [ngx-mat-table-multi-sort](https://github.com/pgerke/ngx-mat-table-multi-sort) - Add multi-sort capability to an Angular Material table.
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* [ngx-virtual-select-field](https://github.com/Vizer/ngx-virtual-select-field) - This package replicates the Angular Material Select component with virtual scroll capabilities with help of cdk-virtual-scroll.
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* [ng-country-select](https://github.com/wlucha/ng-country-select) - A smart, multilingual country search with flags and codes.
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* [ngx-card-wrapper](https://github.com/filip194/ngx-card-wrapper) - Angular >=16 wrapper for [card.js](https://github.com/jessepollak/card), which provides a credit card form.
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##### JSON Forms
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docs/awesome/awesome-annual-security-reports.md

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- [Mandiant](https://www.mandiant.com/m-trends) - [MTrends Special Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Mandiant-M-Trends-2024.pdf) (2024) - Offers insights into advanced persistent threats, emerging attack techniques, and strategies for improving organizational cyber defense.
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- [Microsoft](https://www.microsoft.com/en-us/security/security-insider/intelligence-reports/microsoft-digital-defense-report-2024) - [Digital Defense Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Microsoft-Digital-Defense-Report-2024.pdf) (2024) - Analyzes global cybersecurity trends, offering insights into threat actor tactics, emerging vulnerabilities, and strategies for improving digital defense.
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- [NCC Group](https://www.nccgroup.com/us/threat-monitor-report-2024/) - [Threat Monitor Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/NCCGroup-Threat-Monitor-Report-2024.pdf) (2024) - Provides an analysis of current cyber threats, offering insights into attack trends, vulnerabilities, and strategies for improving organizational cybersecurity.
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- [NCSC](https://www.ncsc.govt.nz/news/cyber-threat-report-2024) - [Cyber Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/NCSC-Cyber-Threat-Report-2024.pdf) (2024) - Analyzes the Aotearoa New Zealand cyber threat landscape, focusing on incidents impacting individuals and small to medium businesses.
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- [Rapid7](https://www.rapid7.com/research/report/2024-attack-intelligence-report/) - [Attack Intelligence Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Rapid7-Attack-Intelligence-Report-2024.pdf) (2024) - Analyzes attack patterns and techniques, offering insights into adversary tactics and strategies for improving organizational cyber defense.
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- [RecordedFuture](https://www.recordedfuture.com/research/2024-annual-report) - [Cyber Threat Analysis Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/RecordedFuture-Cyber-Threat-Analysis-Report-2024.pdf) (2024) - Highlights the resilience of cybercriminal networks despite law enforcement actions and the growing complexity of enterprise attack surfaces.
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- [RedCanary](https://redcanary.com/threat-detection-report/) - [Threat Detection Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/RedCanary-Threat-Detection-Report-2024.pdf) (2024) - Examines current attack techniques and detection strategies, offering insights into improving organizational threat detection capabilities.
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- [Secureworks](https://www.secureworks.com/resources/rp-state-of-the-threat-2024) - [State of the Threat](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Secureworks-State-of-the-Threat-Report-2024.pdf) (2024) - Provides a detailed analysis of the evolving cybersecurity landscape based on global intelligence gathering and incident response data.
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- [SonicWall](https://www.sonicwall.com/threat-report/) - [Cyber Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/SonicWall-Cyber-Threat-Report-2024.pdf) (2024) - Examines global cyber threats, offering insights into malware trends, attack vectors, and strategies for improving organizational cybersecurity.

docs/awesome/awesome-connectivity-info.md

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- [Africa Bandwidth Maps](http://www.africabandwidthmaps.com/) - Paul Hamilton's map of African terrestrial fibre and microwave networks.
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- [Telegeography Submarine Cable Map](https://www.submarinecablemap.com/) - Interactive submarine fibre optic cables.
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- Telegeography Annual Submarine Cable Update - ([2024](https://submarine-cable-map-2024.telegeography.com/)) ([2023](https://submarine-cable-map-2023.telegeography.com/)) ([2022](http://submarine-cable-map-2022.telegeography.com/)) ([2021](http://submarine-cable-map-2021.telegeography.com/)) ([2020](http://submarine-cable-map-2020.telegeography.com/)) ([2019](http://submarine-cable-map-2019.telegeography.com/)) ([2018](http://submarine-cable-map-2018.telegeography.com/))
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- [Submarine Telecoms Forum](https://subtelforum.com/online-map/) - SubTelForum has an excellent interactive map and directory of undersea cables as well as an annual almanac.
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- [Telegeography Cloud Infrastructure Map](https://www.cloudinfrastructuremap.com/) - Map of cloud infastructure providers around the world.
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- [ITU Interactive Transmission Map](http://www.itu.int/itu-d/tnd-map-public/) - Online map of terrestrial fibre and microwave networks from ITU.
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- [GSMA Mobile Coverage Maps @ Mobile World Live](http://maps.mobileworldlive.com/) - Somewhat dated but still useful map of mobile network coverage on country by country basis.

docs/awesome/awesome-generative-ai.md

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- [Portkey](https://portkey.ai/) - A full-stack LLMOps platform for LLM monitoring, caching, and management.
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- [agenta](https://github.com/agenta-ai/agenta) - An open-source end-to-end LLMOps platform for prompt engineering, evaluation, and deployment. #opensource
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- [Together AI](https://www.together.ai/) - Train, fine-tune-and run inference on AI models blazing fast, at low cost, and at production scale.
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- [Gitingest](https://gitingest.com/) - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM. [#opensource](https://github.com/cyclotruc/gitingest)
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- [Repomix](https://repomix.com/) - Pack your codebase into AI-friendly formats. [#opensource](https://github.com/yamadashy/repomix)
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### Playgrounds
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- [OpenAI Playground](https://platform.openai.com/playground) - Explore resources, tutorials, API docs, and dynamic examples.

docs/awesome/awesome-go.md

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- [endly](https://github.com/viant/endly) - Declarative end to end functional testing.
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- [envite](https://github.com/PerimeterX/envite) - Dev and testing environment management framework.
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- [fixenv](https://github.com/rekby/fixenv) - Fixture manage engine, inspired by pytest fixtures.
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- [fluentassert](https://github.com/fluentassert/verify) - Extensible, type-safe, fluent assertion Go library.
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- [flute](https://github.com/suzuki-shunsuke/flute) - HTTP client testing framework.
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- [frisby](https://github.com/verdverm/frisby) - REST API testing framework.
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- [gherkingen](https://github.com/hedhyw/gherkingen) - BDD boilerplate generator and framework.

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