Hacker News
Linking pages
- GitHub - upgundecha/howtheysre: A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE) https://github.com/upgundecha/howtheysre 98 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. https://github.com/ahkarami/Deep-Learning-in-Production 2 comments
- GitHub - featurestoreorg/serverless-ml-course: Serverless ML Course for building AI-enabled Prediction Services from models and features https://github.com/featurestoreorg/serverless-ml-course 1 comment
- MLOps at a Reasonable Scale [The Ultimate Guide] - neptune.ai https://neptune.ai/blog/mlops-at-reasonable-scale 0 comments
- Issue #14: AI Index Report 2021. Multimodal Neurons. AI Infra Alliance. Similarity Search https://mlopsroundup.substack.com/p/issue-14-ai-index-report-2021-multimodal 0 comments
- Nil to NLP – Mihai's Blog https://mihaisplace.blog/2021/06/02/nil-to-nlp/ 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- GitHub - dair-ai/MLOPs-Primer: A collection of resources to learn about MLOPs. https://github.com/dair-ai/MLOPs-Primer 0 comments
- GitHub - tensorchord/awesome-open-source-mlops: An awesome & curated list of best open source MLOps/LLMOps tools for data scientists. https://github.com/tensorchord/awesome-open-source-mlops 0 comments
- GitHub - zhimin-z/awesome-awesome-machine-learning: A curated list of awesome curated lists of many topics closely related to machine learning. https://github.com/zhimin-z/awesome-awesome-machine-learning 0 comments
Linked pages
- The Twelve-Factor App https://12factor.net 301 comments
- GitHub - trimstray/the-book-of-secret-knowledge: A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more. https://github.com/trimstray/the-book-of-secret-knowledge 270 comments
- Technical Writing | Google Developers https://developers.google.com/tech-writing 239 comments
- DeepLearning.AI: Start or Advance Your Career in AI https://deeplearning.ai 216 comments
- The New Business of AI vs Traditional Software | Future https://a16z.com/2020/02/16/the-new-business-of-ai-and-how-its-different-from-traditional-software/ 216 comments
- Building a data team at a mid-stage startup: a short story · Erik Bernhardsson https://erikbern.com/2021/07/07/the-data-team-a-short-story.html 159 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.0-beta0 documentation https://d2l.ai/ 108 comments
- What I learned from looking at 200 machine learning tools https://huyenchip.com/2020/06/22/mlops.html 106 comments
- Why We Need DevOps for ML Data | Tecton https://tecton.ai/blog/devops-ml-data/ 87 comments
- Federated Learning https://federated.withgoogle.com/ 76 comments
- Foundations of Machine Learning https://bloomberg.github.io/foml/ 71 comments
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 68 comments
- https://www.snorkel.ai/07-14-2020-snorkel-ai-launch 68 comments
- Home - Cookiecutter Data Science http://drivendata.github.io/cookiecutter-data-science/ 57 comments
- ML Engineer Guide: Feature Store vs Data Warehouse | Hopsworks https://www.logicalclocks.com/blog/feature-store-vs-data-warehouse 56 comments
- Cloud AI Platform Pipelines now available in beta | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/introducing-cloud-ai-platform-pipelines 53 comments
- Data Mesh Architecture https://www.datamesh-architecture.com 50 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 45 comments
- CML · Continuous Machine Learning http://cml.dev 38 comments
- How to Write Better with The Why, What, How Framework https://eugeneyan.com/writing/writing-docs-why-what-how/ 34 comments
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