Robot Updated at:27 Jan 2025 21:11:16 GMT

Author: yiliuyan161

docs/awesome/awesome-agi-cocosci.md

@@ -243,7 +243,7 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht
 
 * [Parameter Expansion for Data Augmentation](https://www.tandfonline.com/doi/abs/10.1080/01621459.1999.10473879) - ***Journal of the American Statistical Association***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=15342818142955984734)]. [[Preprint](http://www.stat.ucla.edu/~ywu/research/papers/PXDA.pdf)]. Viewing the observed data of a statistical model as incomplete and augmenting its missing parts are useful for clarifying concepts and central to the invention of two well-known statistical algorithms: expectation-maximization (EM) and data augmentation. Recently, the authors demonstrated that expanding the parameter space along with augmenting the missing data is useful for accelerating iterative computation in an EM algorithm. The main purpose of this article is to rigorously define a parameter expanded data augmentation (PX-DA) algorithm and to study its theoretical properties. The PX-DA is a special way of using auxiliary variables to accelerate Gibbs sampling algorithms and is closely related to reparameterization techniques.
 
-* [Image segmentation by data-driven markov chain monte carlo](http://www.stat.ucla.edu/~sczhu/papers/DDMCMC_reprint.pdf) - ***IEEE Transactions on Pattern Analysis and Machine Intelligence***, 2002. [[All Versions](https://scholar.google.com/scholar?cluster=3461400072144667491&hl=en&as_sdt=0,5)]. Classic method for image segmentation via generative modeling.
+* [Image segmentation by data-driven markov chain monte carlo](http://www.stat.ucla.edu/~sczhu/papers/DDMCMC_reprint.pdf) - ***IEEE Transactions on Pattern Analysis and Machine Intelligence***, 2002. [[All Versions](https://scholar.google.com/scholar?cluster=3461400072144667491)]. Classic method for image segmentation via generative modeling.
 
 * [Efficient Learning of Sparse Representations with an Energy-Based Model](https://proceedings.neurips.cc/paper/2006/file/87f4d79e36d68c3031ccf6c55e9bbd39-Paper.pdf) - ***NeurIPS'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=2247668190782691760&hl=en&as_sdt=0,5)].
 

docs/awesome/awesome-ble.md

@@ -94,7 +94,6 @@ _Development and testing tools for Bluetooth Low Energy (BLE) applications, incl
 
 _Web-based resources, frameworks, and tools for building Bluetooth Low Energy (BLE) applications using JavaScript and web technologies._
 
-- [Web Bluetooth Device Info](https://github.com/urish/web-bluetooth-device-info) - Web Bluetooth demo to get information about a connected Bluetooth device.
 - [Web Bluetooth Samples](https://github.com/WebBluetoothCG/demos) - A collection of Web Bluetooth API usage examples.
 
 ## Security

docs/awesome/awesome-generative-ai.md

@@ -171,6 +171,8 @@ Contributions to this list are welcome. Before submitting your suggestions, plea
 - [SymbolicAI](https://github.com/Xpitfire/symbolicai) - A neuro-symbolic framework for building applications with LLMs at the core.
 - [Ollama](https://github.com/ollama/ollama) - Get up and running with large language models locally.
 - [Vanna.ai](https://vanna.ai/) - An open-source Python RAG framework for SQL generation and related functionality. [#opensource](https://github.com/vanna-ai/vanna)
+- [Portkey](https://portkey.ai/) - A full-stack LLMOps platform for LLM monitoring, caching, and management.
+- [agenta](https://github.com/agenta-ai/agenta) - An open-source end-to-end LLMOps platform for prompt engineering, evaluation, and deployment. #opensource
 
 ## Agents
 

docs/awesome/awesome-pocketbase.md

@@ -146,6 +146,7 @@ PocketBase is an open source backend consisting of embedded database (SQLite) wi
 - [Flutter Chat App](https://github.com/rohitsangwan01/flutter_pocketbase_chat) - A chat app using PocketBase in Flutter. ![GitHub Repo stars](https://img.shields.io/github/stars/rohitsangwan01/flutter_pocketbase_chat)
 - [JustJot](https://justjot.app) - A keyboard-first note-taking full-featured Progressive Web App. [frontend repo](https://github.com/JunoNgx/justjot-frontend) / [backend repo](https://github.com/JunoNgx/justjot-backend) ![GitHub Repo stars](https://img.shields.io/github/stars/JunoNgx/justjot-backend)
 - [Cookie auth demo](https://github.com/davidbarton/pocketbase-cookie-auth-demo) - A demo of cookie based authentication flow for PocketBase. ![GitHub Repo stars](https://img.shields.io/github/stars/davidbarton/pocketbase-cookie-auth-demo)
+- [Adnexos](https://github.com/tametsi/adnexos) - Self-hostable expense-splitter on the web. ![GitHub Repo stars](https://img.shields.io/github/stars/tametsi/adnexos)
 
 ## PocketPorts Packages
 

docs/awesome/awesome-selfhosted.md

@@ -123,7 +123,6 @@ _Related: [Internet of Things (IoT)](#internet-of-things-iot), [Software Develop
 - [StackStorm](https://stackstorm.com) - StackStorm (aka _IFTTT for Ops_) is event-driven automation for auto-remediation, security responses, troubleshooting, deployments, and more. Includes rules engine, workflow, 160 integration packs with 6000+ actions and ChatOps. ([Source Code](https://github.com/StackStorm/st2)) `Apache-2.0` `Python`
 - [tubesync](https://github.com/meeb/tubesync) `⚠` - Syncs YouTube channels and playlists to a locally hosted media server. `AGPL-3.0` `Docker/Python`
 - [ydl_api_ng](https://github.com/Totonyus/ydl_api_ng) - Simple youtube-dl REST API to launch downloads on a distant server. `GPL-3.0` `Python`
-- [YoutubeDL-Material](https://github.com/Tzahi12345/YoutubeDL-Material) - Material Design inspired YouTube downloader, based on youtube-dl. Supports playlists, quality select, search, dark mode and much more, all with a clean and modern design. `MIT` `Nodejs/Docker`
 - [YoutubeDL-Server](https://github.com/nbr23/youtube-dl-server) - Web and REST interface for downloading videos onto a server. `MIT` `Python/Docker`
 - [yt-dlp Web UI](https://github.com/marcopeocchi/yt-dlp-web-ui) - Web GUI for yt-dlp. `MPL-2.0` `Docker/Go/Nodejs`
 - [µTask](https://github.com/ovh/utask) - Automation engine that models and executes business processes declared in yaml. `BSD-3-Clause` `Go/Docker`
@@ -594,7 +593,6 @@ _Related: [Analytics](#analytics), [Automation](#automation)_
 
 _See also: [dbdb.io - Database of Databases](https://dbdb.io/)_
 
-- [AdminerEvo](https://docs.adminerevo.org/) - Database management in a single PHP file. Available for MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch, MongoDB and others (fork of Adminer). ([Source Code](https://github.com/adminerevo/adminerevo)) `Apache-2.0/GPL-2.0` `PHP`
 - [Azimutt](https://azimutt.app) - Visual database exploration made for real world databases (big and messy). Explore your database schema as well as data, document them, extend them and even get analysis and guidelines. ([Demo](https://azimutt.app/gallery/gospeak), [Source Code](https://github.com/azimuttapp/azimutt)) `MIT` `Elixir/Nodejs/Docker`
 - [Baserow](https://baserow.io/) - Create your own database without technical experience (alternative to Airtable). ([Source Code](https://gitlab.com/bramw/baserow)) `MIT` `Docker`
 - [Bytebase](https://www.bytebase.com/) - Safe database schema change and version control for DevOps teams, supports MySQL, PostgreSQL, TiDB, ClickHouse, and Snowflake. ([Demo](https://demo.bytebase.com), [Source Code](https://github.com/bytebase/bytebase)) `MIT` `Docker/K8S/Go`
@@ -1855,6 +1853,7 @@ _Related: [Software Development - Project Management](#software-development---pr
 - [Task Keeper](https://github.com/nymanjens/piga) - List editor for power users, backed by a self-hosted server. `Apache-2.0` `Scala`
 - [Tasks.md](https://github.com/BaldissaraMatheus/Tasks.md) - A self-hosted, file based task management board that supports Markdown syntax. `MIT` `Docker`
 - [Taskwarrior](https://taskwarrior.org/) - Taskwarrior is Free and Open Source Software that manages your TODO list from your command line. It is flexible, fast, efficient, and unobtrusive. It does its job then gets out of your way. ([Source Code](https://taskwarrior.org/download/#git)) `MIT` `C++`
+- [Tegon](https://tegon.ai) `⚠` - Dev-first issue tracking tool (alternative to Jira, Linear). ([Source Code](https://github.com/tegonhq/tegon)) `AGPL-3.0` `Docker`
 - [Tracks](https://www.getontracks.org/) - Web-based application to help you implement David Allen’s [Getting Things Done™](https://en.wikipedia.org/wiki/Getting_Things_Done) methodology. ([Source Code](https://github.com/TracksApp/tracks)) `GPL-2.0` `Ruby`
 - [Vikunja](https://vikunja.io/) - The to-do app to organize your life. ([Demo](https://try.vikunja.io/login), [Source Code](https://kolaente.dev/vikunja/)) `GPL-3.0` `Go`
 - [Wekan](https://wekan.github.io/) - Open-source Trello-like kanban. ([Source Code](https://github.com/wekan/wekan)) `MIT` `Nodejs`
@@ -1889,6 +1888,7 @@ _Related: [Task Management & To-do Lists](#task-management--to-do-lists), [Softw
 
 - [ActivityWatch](https://activitywatch.net) - An app that automatically tracks how you spend time on your devices. ([Source Code](https://github.com/ActivityWatch/activitywatch)) `MPL-2.0` `Python`
 - [Beaver Habit Tracker](https://github.com/daya0576/beaverhabits) - Habit tracking app to save your precious moments in your fleeting life. ([Demo](https://beaverhabits.com/demo)) `BSD-3-Clause` `Docker`
+- [Ever Gauzy](https://gauzy.co) - Open business management platform for collaborative, on-demand and sharing economies (ERP/CRM/HRM/ATS/PM). ([Demo](https://demo.gauzy.co), [Source Code](https://github.com/ever-co/ever-gauzy)) `AGPL-3.0` `Docker/Nodejs`
 - [Kimai](https://www.kimai.org/) - Kimai is a free & open source timetracker. It tracks work time and prints out a summary of your activities on demand. ([Demo](https://www.kimai.org/demo/), [Source Code](https://github.com/kimai/kimai)) `AGPL-3.0` `PHP`
 - [solidtime](https://www.solidtime.io) - Modern time tracking application for freelancers and agencies. ([Source Code](https://github.com/solidtime-io/solidtime)) `AGPL-3.0` `Docker`
 - [TimeTagger](https://timetagger.app) - An open source time-tracker based on an interactive timeline and powerful reporting. ([Demo](https://timetagger.app/app/demo), [Source Code](https://github.com/almarklein/timetagger)) `GPL-3.0` `Python`