orange
yadm
orange | yadm | |
---|---|---|
27 | 81 | |
4,611 | 4,792 | |
0.9% | - | |
9.6 | 2.4 | |
9 days ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
orange
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Hierarchical Clustering
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
- Orange Data Mining
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The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
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Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
yadm
- Yadm: Yet Another Dotfiles Manager
- YADM: Yet Another Dotfiles Manager
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
Everyone hand-rolls their own dotfile management system, but YADM already does everything you need:
https://yadm.io/
- Yet Another Dotfiles Manager
- Tell HN: My Favorite Tools
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Dotfiles Matter
I've been working around this using tools built on top of git like [yadm](https://github.com/TheLocehiliosan/yadm) and relying on `ls-files` to list all my tracked dotfiles and their paths.
Still having everything in one place would make things much simpler. Great idea!
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System settings that aren’t in System Settings
I wonder if the program i use to manage my dotfiles could help manage your scripts and extend your setup to all your desktops? Its called yadm (https://yadm.io/) it makes it so easy to have a laptop and a desktop or two.
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The right way to keep config files synced across devices?
I really like that one but still prefer yadm because you can just edit your files as usual and then yadm add them wherever you are.
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Just got a new M2 Pro after my 2016 became outdated. What are your first steps to setting up a new computer?
If you haven’t already, this is the time to install a tool like yadm and get your computer configuration into version control. Your command-line tools can be managed by yadm directly, your system settings can mostly be managed with a yadm bootstrap script that runs things like defaults write, and the software you install can be managed with a Brewfile that the yadm bootstrap script uses to install software with Homebrew. Don’t manually download Xcode, use xcodes to do it.
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System 76 Linux script to set up a new PC including the personal profile and prefered software installs
I personally use YADM. It's basically a git repo on my home folder, that only tracks what I explicitly set. And you can setup bootstraps to do what you said, install a bunch of stuff or make custom changes. In it's essence, it's a set of bash/sh files that are executed sequentially when you launch the yadm bootstrap command.
What are some alternatives?
glue - Linked Data Visualizations Across Multiple Files
GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
chezmoi - Manage your dotfiles across multiple diverse machines, securely.
RDKit - The official sources for the RDKit library
Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
dotbot - A tool that bootstraps your dotfiles ⚡️
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
homesick - Your home directory is your castle. Don't leave your dotfiles behind.
NumPy - The fundamental package for scientific computing with Python.
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.