Linking pages
- GitHub - mikeroyal/Self-Hosting-Guide: Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking. https://github.com/mikeroyal/Self-Hosting-Guide 108 comments
- GitHub - google/differential-privacy: Google's differential privacy libraries. https://github.com/google/differential-privacy/ 32 comments
- GitHub - mikeroyal/Fedora-Guide: Fedora/CentOS Stream/Red Hat Enterprise Linux Guide https://github.com/mikeroyal/Fedora-Guide 30 comments
- GitHub - mikeroyal/Windows-11-Guide: Windows 10/11 Guide. Including Windows Security tools, Encryption, Graphics, Gaming, Virtualization, Windows Subsystem for Linux (WSL 2), Software Apps, and Resources. https://github.com/mikeroyal/Windows-11-Guide 24 comments
- GitHub - mikeroyal/NixOS-Guide: NixOS Guide. Learn all about the immutable Nix Operating System and the declarative Nix Expression Language. https://github.com/mikeroyal/NixOS-Guide 14 comments
- GitHub - mikeroyal/Pop_OS-Guide: Pop!_OS Guide. Pop!_OS is an Operating System developed by System76. https://github.com/mikeroyal/Pop_OS-Guide 8 comments
- GitHub - mikeroyal/Perfect-Ubuntu-Guide: Ubuntu Guide. Learn about getting your Ubuntu Desktop/Server ready for development. Including Ubuntu Security, Graphics (AMD/NVIDIA/Intel ARC), and Software Apps. https://github.com/mikeroyal/Perfect-Ubuntu-Guide 7 comments
- GitHub - mikeroyal/Debian-Guide: Debian Guide https://github.com/mikeroyal/Debian-Guide 5 comments
- GitHub - mikeroyal/SUSE-openSUSE-Guide: SUSE/openSUSE Guide https://github.com/mikeroyal/SUSE-openSUSE-Guide 4 comments
- Federated Learning with Formal Differential Privacy Guarantees – Google AI Blog https://ai.googleblog.com/2022/02/federated-learning-with-formal.html 3 comments
- Using generative, differentially-private models to build privacy-enhancing, synthetic datasets from real data. https://gretel.ai/blog/using-generative-differentially-private-models-to-build-privacy-enhancing-synthetic-datasets-from-real-data 1 comment
- Building a Machine Learning Platform [Definitive Guide] https://neptune.ai/blog/ml-platform-guide 1 comment
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments
- Machine Learning with Differential Privacy in TensorFlow | cleverhans-blog http://www.cleverhans.io/privacy/2019/03/26/machine-learning-with-differential-privacy-in-tensorflow.html 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- Looking Back at Google’s Research Efforts in 2018 – Google AI Blog https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - gretelai/gretel-synthetics: Synthetic data generators for structured and unstructured text, featuring differentially private learning. https://github.com/gretelai/gretel-synthetics 0 comments
- Privacy Considerations in Large Language Models – Google AI Blog https://ai.googleblog.com/2020/12/privacy-considerations-in-large.html 0 comments
- Applying Differential Privacy to Large Scale Image Classification – Google AI Blog https://ai.googleblog.com/2022/02/applying-differential-privacy-to-large.html 0 comments
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