- How often do you use MLflow for your computer vision models? https://mlflow.org/ 14 comments computervision
Linking pages
- Why data scientists shouldn’t need to know Kubernetes https://huyenchip.com/2021/09/13/data-science-infrastructure.html 121 comments
- 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 - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 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 - clementchadebec/benchmark_VAE: Unifying Generative Autoencoder implementations in Python https://github.com/clementchadebec/benchmark_VAE 20 comments
- 7 Considerations Before Pushing Machine Learning Models to Production | by Ahmed Besbes | Towards Data Science https://towardsdatascience.com/7-considerations-before-pushing-machine-learning-models-to-production-efab64c4d433 14 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 - cfusting/conditional-growth: Grow virtual creatures in static and physics simulated environments. https://github.com/cfusting/conditional-growth 13 comments
- GitHub - kevin-hanselman/dud: A lightweight CLI tool for versioning data alongside source code and building data pipelines. https://github.com/kevin-hanselman/dud 9 comments
- The Data Science Workflow. Suppose you are starting a new data… | by Konstantin | Towards Data Science https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 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/Azure-Guide: Microsoft Azure Guide. Learn all about Microsoft Azure Tools, Services, and Certifications. https://github.com/mikeroyal/Azure-Guide 7 comments
- Real-time Analytics News for Week Ending November 19 - RTInsights https://www.rtinsights.com/real-time-analytics-news-for-week-ending-november-19/ 7 comments
- GitHub - aporia-ai/mlplatform-workshop: 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more https://github.com/aporia-ai/mlplatform-workshop 5 comments
- The best open source software of 2021 | InfoWorld https://www.infoworld.com/article/3637038/the-best-open-source-software-of-2021.html 5 comments
- GitHub - mikeroyal/Debian-Guide: Debian Guide https://github.com/mikeroyal/Debian-Guide 5 comments
- GitHub - mahmoud/awesome-python-applications: 💿 Free software that works great, and also happens to be open-source Python. https://github.com/mahmoud/awesome-python-applications 5 comments
- Data science and Machine learning at PyCon Namibia 2023 | Ubuntu AI https://medium.com/ubuntu-ai/data-science-and-machine-learning-at-pycon-namibia-2023-dbf0990cee1d 5 comments
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