guildai | tmux | |
---|---|---|
16 | 208 | |
858 | 33,095 | |
0.3% | 1.5% | |
8.8 | 8.3 | |
9 months ago | 8 days ago | |
Python | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
guildai
-
guildai VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
-
[D] Who here are convinced that they have a really good setup that keeps track of their ML experiments?
Experiment tracking in DvC is implemented using git to store snapshots of a project and related artifacts. You might take a look at Guild AI's support for DvC, which is tightly integrated with DvC stages. You can run any of the stages defined for a project and you get a properly isolated run (each run is a project copy to ensure that you're not corrupting the run if you modify files while it's running - as well as properly supporting concurrent runs). Once you have runs in Guild, you can use any number of tools to study, compare, export, etc.
-
[D] Deploying SOTA models into my own projects
I built an experiment tracking tool (Guild AI) that focuses on code/model reuse and so this question is dear to my heart :) Best of luck!
-
[P] I reviewed 50+ open-source MLOps tools. Hereβs the result
I'm not aware of experiment tracking in Jupyter notebooks themselves. Guild AI is able to run notebooks as experiments however.
-
[D] What MLOps platform do you use, and how helpful are they?
Disclosure - I'm the author of Guild AI so take this for the biased opinion that it is.
-
[N] Experiment tracking with DvC and Guild AI
I'm the author of Guild AI (open source experiment tracking). For some time now Guild users have asked for DvC support. This is now available as a pre-release.
-
[D] Why doesnβt your team use an experiment tracking tool?
Guild AI now has support for running DvC stages as experiments. DvC uses git under the covers to manage project state for each experiment, along with the experiment results. Guild doesn't touch your git repo and instead copies your project source to a new run directory. This ensures that you have a correct record of your experiment without churning your project state.
-
Data Science toolset summary from 2021
Guild.ai - https://guild.ai/
- [D] How do you ensure reproducibility?
-
[D] I'm new and scrappy. What tips do you have for better logging and documentation when training or hyperparameter training?
Use guild and pytorch-lightning. Make it easy for new contributors to get your data by using dvc as a data access tool.
tmux
- Chained ttys for side-by-side reading
-
Let's See Your Terminal
This got me thinking about my recent pivot, my switch to Neovim by way of LazyVim to write most of my code, and using tmux to keep terminal states alive after closing a session.
-
Just How Much Faster Are the Gnome 46 Terminals?
I use Tmux. It's a terminal-agnostic multiplexer. Gives you persistence and automation superpowers.
https://github.com/tmux/tmux/wiki
-
Easy Access to Terminal Commands in Neovim using FTerm
Having a common set of tools already set up in different windows or sessions in Tmux or Zellij is obviously an option, but there is a subset of us ( π ) that would rather just have fingertip access to our common tools inside of our editor.
-
Using Shell Scripting to simplify your Shopify App development workflow π
Once you have your Mac or Linux machine ready, make sure to downlaod and install TMUX (Terminal Mulitplexer). A lot of our scripts are going to be running headless inside of a TMUX session as it's an incredibly clean way to manage and organise different workspaces simultaneously. A lot of our scripts will help us to interact with TMUX so don't worry if it looks a little intimidating at first. You can install TMUX using your package manager in the terminal, use whichever applies to you:
-
Zellij β A terminal workspace with batteries included (tmux alternative)
After having spent too much time trying to get the simple https://github.com/csdvrx/sixel-tmux/ features into mainline tmux (last November https://github.com/tmux/tmux/issues/3753), maybe it'd be easier to jump ship as use zellij?
Could anyone offer recommendations on "riced" zellij configuations, or just a demo where it shows doing with (say charts of disk usage per folder), watching a movie with mpv + keeping a vim to type on?
-
Automating the startup of a dev workflow
Well, I now use tmux and tmuxinator. I have had many failed tmux attempts over the years, but I'm firmly bedded in now.
-
Clipboards, Terminals, and Linux
Which leads me to clipboards. Linux has two of them! Adding to the interest, I typically use Neovim remotely, via an SSH connection to a Tmux session. And on my Linux system, I use urxvt as my terminal program. All of these are very UNIX-y tools, and somehow they all need to play nicely together.
-
Connecting Debugger to Rails Applications
The downside of overmind is that it requires tmux, which is a terminal multiplexer tool. If you don't already use tmux, I'd say it's probably not worth learning it just for the purposes of using overmind. But if you're like me and already know/use tmux, this can be a great solution to pursue.
- Enchula Mi Consola
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
zellij - A terminal workspace with batteries included
aim - Aim π« β An easy-to-use & supercharged open-source experiment tracker.
kitty - Cross-platform, fast, feature-rich, GPU based terminal
dvc - π¦ ML Experiments and Data Management with Git
tilix - A tiling terminal emulator for Linux using GTK+ 3
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
toggleterm.nvim - A neovim lua plugin to help easily manage multiple terminal windows
labml - π Monitor deep learning model training and hardware usage from your mobile phone π±
i3 - A tiling window manager for X11
wandb - π₯ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Mosh - Mobile Shell