Linking pages
- Why we’re writing machine learning infrastructure in Go, not Python | by Caleb Kaiser | Medium https://towardsdatascience.com/why-were-writing-machine-learning-infrastructure-in-go-not-python-38d6a37e2d76 148 comments
- GitHub - RunaCapital/awesome-oss-alternatives: Awesome list of open-source startup alternatives to well-known SaaS products 🚀 https://github.com/RunaCapital/awesome-oss-alternatives 92 comments
- GitHub - cortexlabs/cortex: Production infrastructure for machine learning at scale https://github.com/cortexlabs/cortex 61 comments
- GitHub - cortexlabs/cortex at v0.7.0 https://github.com/cortexlabs/cortex/tree/v0.7.0 24 comments
- TLDR: Writing a Slack bot to Summarize Articles | by Chris Ismael | Concur Labs https://blog.concurlabs.com/how-to-write-a-tldr-chat-bot-ec02d9e1649c 23 comments
- GitHub - RunaCapital/awesome-oss-alternatives: Awesome list of open-source startup alternatives to well-known SaaS products 🚀 https://github.com/RunaCapital/awesome-oss-alternatives?q= 12 comments
- How to improve software engineering skills as a researcher https://ljvmiranda921.github.io/notebook/2020/11/15/data-science-swe/ 4 comments
- Bringing software development principles to Machine Learning https://sachinchandra.substack.com/p/bringing-software-development-principles 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
- A list of beginner-friendly NLP projects—using pre-trained models | by Caleb Kaiser | Medium https://towardsdatascience.com/a-list-of-beginner-friendly-nlp-projects-using-pre-trained-models-dc4768b4bec0 1 comment
- Why we’re writing machine learning infrastructure in Go, not Python | by Caleb Kaiser | Medium https://towardsdatascience.com/why-were-writing-machine-learning-infrastructure-in-go-not-python-38d6a37e2d76?gi=dc4596294618 1 comment
- Cortex Labs helps data scientists deploy machine learning models in the cloud | TechCrunch https://techcrunch.com/2020/01/23/cortex-labs-helps-data-scientists-deploy-machine-learning-models-in-the-cloud/ 0 comments
- Why we’re writing machine learning infrastructure in Go, not Python | by Caleb Kaiser | Medium https://towardsdatascience.com/why-were-writing-machine-learning-infrastructure-in-go-not-python-38d6a37e2d76?sk=7c85a8ab2a203c5c62ac41b7183585a1&source=friends_link 0 comments
- Why ML should be written as pipelines from the get-go | by Hamza Tahir | Towards Data Science https://htahir1.medium.com/why-ml-should-be-written-as-pipelines-from-the-get-go-b2d95003f998 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- GitHub - puhoshville/cortex-multiarmed-bandit: Serving ML model in high-load models with cortex and traffic splitter https://github.com/puhoshville/cortex-multiarmed-bandit 0 comments
- Deploy, Monitor and Scale Machine Learning models on AWS | by Dimitris Poulopoulos | Towards Data Science https://towardsdatascience.com/deploy-monitor-and-scale-machine-learning-models-on-aws-408dfd397422 0 comments
- Using PyTorch Models in Production with Cortex | by Caleb Kaiser | PyTorch | Medium https://medium.com/pytorch/how-to-build-production-software-with-pytorch-9a8725382f2a 0 comments
- Top Machine Learning Model Deployment Tools For 2022 - MarkTechPost https://www.marktechpost.com/2022/10/14/top-machine-learning-model-deployment-tools-for-2022/ 0 comments
- Top Tools To Do Machine Learning Serving In Production - MarkTechPost https://www.marktechpost.com/2022/11/11/top-tools-to-do-machine-learning-serving-in-production/ 0 comments
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