Joplin Reviews

Amazon SageMaker Reviews

Joplin mentions (350)

• My productivity app is a never-ending .txt file

  I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android. https://joplinapp.org/. - Source: Hacker News / 4 months ago

• My productivity app is a never-ending .txt file

  I use https://joplinapp.org because it allows for pasting images and files. Has easy sync and also mobile and desktop apps. Free and open source. - Source: Hacker News / 4 months ago

• Ask HN: What do you use for note-taking or as knowledge base?

  Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/ It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home... - Source: Hacker News / 5 months ago

• Alternative for document storage/filing cabinet

  I'm not certain, but I believe that Joplin will serve your needs. Source: 6 months ago

• Ask HN: What software did you purchase that positively impacted your family life

  Joplin (free, but sponsored) in combination with a Storagebox at Hetzner. Joplin allows us to share notes, shopping lists, to do lists, etc via Webdav between our various devices (mobile phones, laptops, desktops). https://joplinapp.org and https://www.hetzner.com/de/storage/storage-box. - Source: Hacker News / 8 months ago

Amazon SageMaker mentions (37)

• Quantum Convolutional Neural Networks

  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 / 11 days ago

• Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations

  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

• Sentiment Analysis with PubNub Functions and HuggingFace

  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

• Beginning the Journey into ML, AI and GenAI on AWS

  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

• Technical Architecture for LLMOps

  Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago