Hacker News
- Practical guide to production level deep learning best practices https://github.com/alirezadir/Production-Level-Deep-Learning 3 comments
Linking pages
- What I learned from looking at 200 machine learning tools https://huyenchip.com/2020/06/22/mlops.html 106 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 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
- The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale — James Le https://jameskle.com/writes/deep-learning-infrastructure-tooling 1 comment
- The 5 Components Towards Building Production-Ready Machine Learning Systems — James Le https://jameskle.com/writes/testing-and-deployment 0 comments
- The 5 Concepts in Data Management That You Should Be Cognizant Of — James Le http://jameskle.com/writes/data-management 0 comments
Linked pages
- PostgreSQL: The world's most advanced open source database https://www.postgresql.org/ 903 comments
- GitHub - dolthub/dolt: Dolt – Git for Data https://github.com/dolthub/dolt 369 comments
- Visual Studio Code - Code Editing. Redefined https://code.visualstudio.com/ 356 comments
- Data Version Control · DVC https://dvc.org/ 175 comments
- Uber Blog https://eng.uber.com/michelangelo/ 93 comments
- Cloud Data Warehouse – Amazon Redshift – Amazon Web Services http://aws.amazon.com/redshift/ 93 comments
- Machine Learning: The High Interest Credit Card of Technical Debt â Google Research https://ai.google/research/pubs/pub43146 91 comments
- GitHub - nteract/papermill: 📚 Parameterize, execute, and analyze notebooks https://github.com/nteract/papermill 70 comments
- DataRobot AI Cloud - The Next Generation of AI https://algorithmia.com 34 comments
- Amazon S3 - Cloud Object Storage - AWS http://aws.amazon.com/s3/ 31 comments
- The Full Stack https://fullstackdeeplearning.com 29 comments
- Open source Machine Learning at scale with Kubernetes - MLOps Lifecycle for data-scientists & machine-learning engineers - Model & Data Centric AI - Polyaxon https://polyaxon.com/ 22 comments
- Home | Argo https://argoproj.github.io/ 19 comments
- GitHub - spotify/luigi: Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. https://github.com/spotify/luigi 17 comments
- Streamlit • A faster way to build and share data apps https://streamlit.io/ 16 comments
- Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP https://prodi.gy 13 comments
- GitHub - keras-team/keras-tuner: A Hyperparameter Tuning Library for Keras https://github.com/keras-team/keras-tuner 12 comments
- Apache Airflow https://airflow.apache.org/ 10 comments
- Buildkite https://buildkite.com/ 10 comments
- Scale AI: The Data Platform for AI https://scale.com/ 9 comments