PsySH VS Amazon SageMaker
Compare PsySH VS Amazon SageMaker and see what are their differences
Auto arrange all your app windows, whether on one screen or many with a single click!
featured
PsySH
Tinkerwell
vscode.dev
Nodebook
Flagsmith
Visual Studio Code
LaunchDarkly
Jupyter
Amazon SageMaker
TensorFlow
IBM Watson Studio
Deepnote
Pega Platform
Azure Machine Learning Studio
Databricks Unified Analytics Platform
Salesforce Einstein
Amazon SageMakerNo PsySH videos yet. You could help us improve this page by suggesting one.
Based on our record, Amazon SageMaker seems to be a lot more popular than PsySH. While we know about 37 links to Amazon SageMaker, we've tracked only 1 mention of PsySH. 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.
PHP is great, but you need to be a pretty decent developer to use it effectively. It has a rather nice interactive shell, https://psysh.org/ . I've built non-trivial, non-web systems in it. Concurrency 'within' the language isn't as nice as some alternatives, but the FCGI-style deployment is quite reliable and convenient in practice. - Source: Hacker News / 29 days 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 / 5 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 1 month 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 / about 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 / 4 months ago
Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago
Tinkerwell - The magical Laravel tinker app for macOS
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.
vscode.dev - Now when you go to https://vscode.dev, you'll be presented with a lightweight version of VS Code running fully in the browser.
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.
Nodebook - Browser-based REPL notebook supporting many programming languages.
Deepnote - A collaboration platform for data scientists