Obsidian
Notion
Logseq
Joplin
Roam Research
Evernote
Bear
Standard Notes
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
ObsidianPerhaps you know someone who swears by Obsidian, it may seem like a cult of overly devoted people for how passionate they are, but it's not without reason
I've been using Obsidian for over 3 years, at a point in my life when I felt I had to handle too much information and I felt like grasping water not being able to remember everything I wanted, language learning, programming, accounting, university, daily tasks. A friend recommended it to me next to Notion (of which he is a passionate cultist priest) and I reluctantly picked it and fell in love almost immediately.
Obsidian seems very simple, like a notepad with folder interface, similar to Sublime Text, but the ability to link files together in a Wiki style allows you to organize ideas in any way you want, one file may lead to a dozen or more ideas that are related
If you want to do something specific, Obsidian has a plethora of community created plugins that expand the functionality, in my case, I use obsidian to organize my classes both as a teacher and as a student, using local databases, calendars, dictionaries, slides, vector graphic drawings, excel-like tables, Anki connection, podcasts, and more
I've been using Obsidian for more than a year. It's been great. I think it offer a great balance of control, flexibility and extensibility. What is more, you own your own data, that's been a must-have feature for me. I just can't imagine putting all my knowledge into something that I don't have control over.
I think two of the most popular alternatives that people consider are Logseq and Roam Research. Although Logseq is a bit different, it's considered compatible with Obsidian. Supposedly, you can use them with a shared database (files. Both use simple text files for storage). I tried that once, a few months ago. It worked, yet it messed up a bit my Obsidian files ¯_(ツ)_/¯.
Based on our record, Obsidian seems to be a lot more popular than TensorFlow. While we know about 1523 links to Obsidian, we've tracked only 8 mentions of TensorFlow. 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.
Inline preview, usually called WYSIWYG. Obsidian's Live Preview mode hides the syntax except where the cursor is. Obsidian is a far better personal knowledge base than anything else on this page, with backlinks, a graph and years of plugins, and if that is what you need the question of what its editor is called does not matter much. - Source: dev.to / 15 days ago
The stack is all open source: Obsidian, GBrain, Horizon, PGLite, and a couple of small Python scripts for the state machine and quality gates. None of the interesting parts are proprietary — the interesting part is the discipline. - Source: dev.to / 21 days ago
Obsidian is a note-taking app that stores everything as Plain markdown files. It lets you organize and structure your notes in a Flexible way, and because the files are plain text on disk, anything that can Read a directory can read your notes, including an AI agent. - Source: dev.to / about 1 month ago
Install Obsidian: Download the client from obsidian.md and create a local Vault — just a local folder. - Source: dev.to / 2 months ago
Obsidian (https://obsidian.md/) Honestly its not huge and most are probably obvious, but those are what I immediately install on my machines. - Source: Hacker News / 3 months ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 6 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: over 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
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.