Robot Updated at:1 Feb 2025 21:10:33 GMT

yiliuyan161 · yiliuyan161 · commit b94aeab98698 · 2025-02-01T21:10:33.000Z
diff --git a/docs/awesome/awesome-agi-cocosci.md b/docs/awesome/awesome-agi-cocosci.md
@@ -253,7 +253,7 @@ Contributions are greatly welcomed! Please refer to [Contribution Guidelines](ht
 
 * [Analysis of Langevin Monte Carlo via Convex Optimization](https://www.jmlr.org/papers/volume20/18-173/18-173.pdf) - ***Journal of Machine Learning Research***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=5305860199396047317&hl=en&as_sdt=0,5)]. 
 
-* [A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs](https://www.cs.jhu.edu/~ayuille/JHUcourses/ProbabilisticModelsOfVisualCognition2020/Lec22/GeorgeCAPCHAS.pdf) - ***Science***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=1478382321633671444&hl=en&as_sdt=0,5)].
+* [A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs](https://www.science.org/doi/full/10.1126/science.aag2612) - ***Science***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=1478382321633671444)]. [[Preprint](https://www.cs.jhu.edu/~ayuille/JHUcourses/ProbabilisticModelsOfVisualCognition2020/Lec22/GeorgeCAPCHAS.pdf)]. Learning from a few examples and generalizing to markedly different situations are capabilities of human visual intelligence that are yet to be matched by leading machine learning models. By drawing inspiration from systems neuroscience, this work introduces a probabilistic generative model for vision in which message-passing–based inference handles recognition, segmentation, and reasoning in a unified way. The model demonstrates excellent generalization and occlusion-reasoning capabilities and outperforms deep neural networks on a challenging scene text recognition benchmark while being 300-fold more data efficient. In addition, the model fundamentally breaks the defense of modern text-based CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) by generatively segmenting characters without CAPTCHA-specific heuristics.
 
 * [Where do hypotheses come from?](https://gershmanlab.com/pubs/Dasgupta17.pdf) - ***Cognitive Psychology***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=17480320046655923235&hl=en&as_sdt=2005&sciodt=0,5)]. A Bayesian account for modeling basic rules as the hypothesis space.
 
diff --git a/docs/awesome/awesome-annual-security-reports.md b/docs/awesome/awesome-annual-security-reports.md
@@ -45,12 +45,13 @@ Reports will be classified by a header that describes their primary content or e
 - [ASD](https://www.cyber.gov.au/about-us/view-all-content/reports-and-statistics/annual-cyber-threat-report-2023-2024) - [Cyber Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/ASD-Cyber-Threat-Report-2024.pdf) (2024) - Insights into Australia’s evolving cyber threat landscape, attack trends, and defense strategies.
 - [BD](https://news.bd.com/2024-06-13-BD-Issues-Annual-Product-Security-Report,-Highlighting-Transparency-and-Collaboration) - [Product Security Annual Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/BD-Product-Security-Annual-Report-2023.pdf) (2023) - Highlights cybersecurity threats in healthcare, addressing the growing sophistication and frequency of cyberattacks through transparency, collaboration, and adherence to high security standards.
 - [Blackpoint](https://blackpointcyber.com/resources/cybersecurity-annual-threat-report-2024/) - [Annual Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Blackpoint-Cyber-Annual-Threat-Report-2024.pdf) (2024) - Analyzes current cyber threats, attack techniques, and emerging trends, providing actionable intelligence for organizations to enhance their security posture.
-- [CheckPoint](https://pages.checkpoint.com/2024-cyber-security-report) - [Cybersecurity Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/CheckPoint-Cybersecurity-Report-2024.pdf) (2024) - Examines global cybersecurity trends, offering insights into attack vectors, threat actor tactics, and strategies for improving organizational cyber resilience.
+- [CheckPoint](https://www.checkpoint.com/security-report/) - [Cybersecurity Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/CheckPoint-Cybersecurity-Report-2025.pdf) (2025) - Provides practical insights to help strengthen your defenses, adapt to an ever-changing threat landscape, stay ahead of attackers, and secure your organization effectively.
 - [Cisco](https://blog.talosintelligence.com/cisco-talos-2023-year-in-review/) - [Talos Year In Review](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/Cisco-Talos-Year-In-Review-2023.pdf) (2023) - Provides a comprehensive analysis of cyber threats and attack trends observed by Cisco's threat intelligence team throughout the year.
 - [CrowdStrike](https://www.crowdstrike.com/resources/reports/overwatch-threat-hunting-report/) - [Threat Hunting Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/CrowdStrike-Threat-Hunting-Report-2024.pdf) (2024) - Provides comprehensive insights into over 245 advanced persistent threats (APTs) and adversary tactics through global threat monitoring and analysis.
 - [CrowdStrike](https://www.crowdstrike.com/resources/reports/global-threat-report/) - [Global Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Crowdstrike-Global-Threat-Report-2024.pdf) (2024) - Analyzes global cyber threats, offering insights into adversary tactics, emerging attack trends, and strategies for improving cyber defense.
 - [DeepInstinct](https://www.deepinstinct.com/blog/2022-cyber-threat-landscape-report) - [Threat Landscape Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/Deep-Instinct-Cyber-Threat-Landscape-Report-2023.pdf) (2023) - Examines evolving cyber threats, offering insights into attack techniques, malware trends, and strategies for enhancing organizational cybersecurity.
 - [Deepwatch](https://www.deepwatch.com/2024-ati-threat-report/) - [Annual Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Deepwatch-Annual-Threat-Report-2024.pdf) (2024) - Analyzes cybersecurity trends, observations, and metrics to provide insights and forecasts for the upcoming year.
+- [Department of Homeland Security](https://www.dhs.gov/publication/homeland-threat-assessment) - [Threat Assessment](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/DHS-Threat Assessment-2025.pdf) (2025) - Outlines key threats to the U.S. homeland, including public safety, terrorism, illegal drugs, and nation-state influence, aiming to safeguard American people, homeland, and values.
 - [DNSFilter](https://explore.dnsfilter.com/2025-annual-security-report) - [Annual Security Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/DNSFilter-Annual-Security-Report-2025.pdf) (2025) - Analyzes trends in DNS-based cyber threats, highlighting phishing, malware distribution, and evasive techniques used by adversaries, along with recommendations for improving domain-layer security.
 - [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.
 - [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.
@@ -111,8 +112,13 @@ Reports will be classified by a header that describes their primary content or e
 - [Verizon](https://www.verizon.com/business/resources/reports/dbir/) - [Data Breach Investigations Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Verizon-Data-Breach-Investigations-Report-2024.pdf) (2024) - Analyzes global data breaches, offering insights into attack patterns, threat actor motivations, and strategies for improving organizational data security and incident response.
 - [Identity Theft Resource Center](https://www.idtheftcenter.org/publication/2023-data-breach-report/) - [Annual Data Breach Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2023/ITRC-Annual-Data-Breach-Report-2023.pdf) (2023) - A review of 18,800+ data breaches since 2005, impacting 12 billion victims and exposing 19.8 billion records, focusing on root causes and compromised data types.
 
+## Physical Security
+- [Genetec](https://www.genetec.com/a/physical-security-report) - [State of Physical Security](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/Genetec-State-of-Physical-Security-2025.pdf) (2025) - Explores the current landscape of physical security, focusing on global trends and the impact of the economy on project timelines and ongoing difficulties in recruiting security professionals.
+- [Security Industry Association](https://www.securityindustry.org/report/security-megatrends-the-2025-vision-for-the-security-industry/) - [Security Megatrends](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/SIA-Security-Megatrends-2025.pdf) (2025) - Provides analysis on 10 top trends affecting security industry businesses and practitioners.
+
 ## AI and Emerging Technologies
 - [AICD](https://www.aicd.com.au/innovative-technology/digital-business/artificial-intelligence/governance-of-ai.html) - [Directors Introduction to AI](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/AICD-Directors-Introduction-to-AI-2024.pdf) (2024) - Provides an overview of artificial intelligence tailored for directors, highlighting its strategic implications, governance considerations, and best practices for AI implementation in organizations.
+- [Hornet](https://www.hornetsecurity.com/us/cyber-security-report/) - [Cybersecurity Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2025/Hornet-Cybersecurity-Report-2025.pdf) (2025) - An in-depth analysis of the Microsoft 365 cloud threat landscape, including email security, compliance, governance, and backup.
 - [IBM](https://www.ibm.com/security/data-breach/threat-intelligence/) - [X-Force Cloud Threat Landscape Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/IBM-X-Force-Cloud-Threat-Landscape-Report-2024.pdf) (2024) - Focuses on threats specific to cloud environments, offering insights into cloud security challenges and strategies for securing cloud infrastructure.
 - [Okta](https://www.okta.com/resources/whitepaper-the-secure-sign-in-trends-report/) - [Secure Sign in Trends Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Okta-Secure-Sign-in-Trends-Report-2024.pdf) (2024) - Drawing on billions of authentications, this report explores trends and methods of common identity attacks, the role of AI in identity security, and unique attack patterns across industries, regions, and company sizes.
 - [Zimperium](https://www.zimperium.com/global-mobile-threat-report/) - [Global Mobile Threat Report](https://github.com/jacobdjwilson/awesome-annual-security-reports/blob/master/Annual%20Security%20Reports/2024/Zimperium-Global-Mobile-Threat-Report-2024.pdf) (2024) Highlights a growing trend of attackers prioritizing mobile devices as a primary target, focusing on threats like phishing and "mishing" (mobile phishing) covering the enterprise mobile footprint, global threat landscape, and specific industries targeted by these attacks.
diff --git a/docs/awesome/awesome-cl.md b/docs/awesome/awesome-cl.md
@@ -1937,6 +1937,10 @@ Plotting
 * [kai](https://github.com/komi1230/kai) - A high-level plotter library for Common Lisp. A wrapper around the [Plotly](https://plotly.com/javascript/) JS library. [MIT][200].
 * [ADW-Charting](https://common-lisp.net/project/adw-charting/) - A simple chart drawing library written completely in Common Lisp. Also includes a backend to Google's chart service. BSD-like.
 
+cool but WIP:
+
+* [plotly-user](https://github.com/ajberkley/plotly-user) -  Use plotly in your browser to explore data from a Common Lisp REPL. [BSD_3Clause][15].
+
 Plotting with text:
 
 * [cl-text-plot](https://github.com/moneylobster/cl-text-plot/) -  Plot with text in Common Lisp. No licence specified.
diff --git a/docs/awesome/awesome-generative-ai.md b/docs/awesome/awesome-generative-ai.md
@@ -60,7 +60,6 @@ Contributions to this list are welcome. Before submitting your suggestions, plea
 
 - [LibreChat](https://librechat.ai/) - LibreChat is a free and open-source chat interface for assistant AIs. [Source code](https://github.com/danny-avila/LibreChat).
 - [Chatbot UI](https://www.chatbotui.com/) - An open source ChatGPT UI. [Source code](https://github.com/mckaywrigley/chatbot-ui).
-- [Jan](https://jan.ai/) - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAI’s GPT-4 or Groq. [#opensource](https://github.com/janhq/jan)
 
 ### Search engines
 
@@ -174,11 +173,17 @@ Contributions to this list are welcome. Before submitting your suggestions, plea
 - [Phoenix](https://phoenix.arize.com/) - Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine tune LLM, CV and tabular models.
 - [Cursor](https://www.cursor.so/) - Cursor is the IDE of the future, built for pair-programming with Powerful AI.
 - [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
 
+### Local LLM Deployment
+- [Ollama](https://github.com/ollama/ollama) - Get up and running with large language models locally.
+- [Open WebUI](https://github.com/open-webui/open-webui) - An extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. #opensource
+- [Jan](https://jan.ai/) - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs. [#opensource](https://github.com/janhq/jan)
+- [Msty](https://msty.app/) - A straightworward and powerful interface for local and online AI models.
+- [PyGPT](https://pygpt.net/) - Personal desktop AI assistant with chat, vision, agents, image generation, tools and commands, voice control and more. #opensource
+
 ## Agents
 
 ### Autonomous agents
diff --git a/docs/awesome/awesome-godot.md b/docs/awesome/awesome-godot.md
@@ -193,15 +193,18 @@ See [Vivraan/godot-lang-support](https://github.com/Vivraan/godot-lang-support).
 - [Godot Spin Button](https://github.com/yudinikita/godot-spin-button) - Horizontal Selector with extended options.
 - [Godot XR Tools](https://github.com/godotvr/godot-xr-tools) - Basic components for XR development.
 - [HTerrain](https://github.com/Zylann/godot_heightmap_plugin) - Heightmap-based terrain. Supports texture painting, colouring, holes, level of detail and grass. *(Godot 3 and 4)*
+- [Icon Explorer](https://kenyoni-software.github.io/godot-addons/addons/icon_explorer) - Browse and save icons from popular icon collections.
 - [Importality](https://github.com/nklbdev/godot-4-importality) - raster graphics and animations importers: Aseprite, Krita, Pencil2D, Piskel, Pixelorama and others.
 - [Input Helper](https://github.com/nathanhoad/godot_input_helper) - A helper for detecting input devices and remapping controls. *(Godot 3 and 4)*
+- [License Manager](https://kenyoni-software.github.io/godot-addons/addons/licenses) - Manage license and copyright for third party graphics, software or libraries. Group them into categories, add descriptions or web links.
 - [LimboAI](https://github.com/limbonaut/limboai) - Behavior trees and state machines. Comes with editor, visual debugger, comprehensive demo and tutorial.
 - [Maaack's Game Template Plugin](https://github.com/Maaack/Godot-Game-Template) - Template with a main menu, options menus, pause menu, credits, scene loader, extra tools, and an example game scene.
 - [Maaack's Menus Template](https://github.com/Maaack/Godot-Menus-Template) - Template with a main menu, options menus, credits, and a scene loader.
 - [Maaack's Scene Loader](https://github.com/Maaack/Godot-Scene-Loader) - Scene loader that includes a loading screen, progress bar, and error handling.
 - [NobodyWho](https://github.com/nobodywho-ooo/nobodywho) - Local large language models (LLMs) for "AI-powered" NPC dialogue.
 - [Orchestrator](https://github.com/Vahera/godot-orchestrator) - Dialog and visual-scripting subsystem for 2D and 3D games.
 - [PixelPen](https://github.com/pixelpen-dev/pixelpen) - Pixel art drawing and animation: Common drawing tools such as selection, shape creation, mirroring, tiling, and animation features within the Godot editor.
+- [QR Code](https://kenyoni-software.github.io/godot-addons/addons/qr_code) - QR Code generation either with the included QRCodeRect node or use the encoding result of the QRCode class.
 - [Quest Manager](https://github.com/Rubonnek/quest-manager) - Minimalistic quest manager able to track quest state at runtime for easier debugging.
 - [QuestSystem](https://github.com/shomykohai/quest-system) - A simple and extensible quest manager and creator.
 - [Scene Manager](https://github.com/glass-brick/Scene-Manager) - Make nice and customizable scene transitions in one line of code. *(Godot 3 and 4)*
diff --git a/docs/awesome/awesome-newsletters.md b/docs/awesome/awesome-newsletters.md
diff --git a/docs/awesome/computer-science.md b/docs/awesome/computer-science.md
