Livebook
Jupyter
Fiberplane
Mineo
Wolfram Language
iPython
Observable Notebooks
Polynote
Amazon SageMaker
TensorFlow
Deepnote
IBM Watson Studio
Pega Platform
Azure Machine Learning Studio
Databricks Unified Analytics Platform
Salesforce Einstein
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Based on our record, Amazon SageMaker seems to be a lot more popular than Livebook. While we know about 37 links to Amazon SageMaker, we've tracked only 3 mentions of Livebook. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You might also like Elixir Livebook! :) https://livebook.dev/. - Source: Hacker News / 10 days ago
I have always considered helping the community grow into a diverse ecosystem to be my main responsibility (the Python community being a great example here). This particular effort started because some people got together and realized that we could do it! Do it in a way that felt part of Elixir and not just a bunch of bindings to C libraries. We honestly never had the expectation that we had to beat Python... - Source: Hacker News / 16 days ago
To get started you need a running instance of Livebook. - Source: dev.to / 3 months ago
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / 17 days ago
Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / about 2 months ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 2 months ago
Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 5 months ago
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Fiberplane - Figma for DevOps
Deepnote - A collaboration platform for data scientists
Mineo - Convert Python Notebooks into data apps
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.