metaflow
tmux
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metaflow | tmux | |
---|---|---|
24 | 207 | |
7,559 | 32,923 | |
2.1% | 2.2% | |
9.2 | 8.3 | |
7 days ago | 9 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.
metaflow
- FLaNK Stack 05 Feb 2024
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metaflow VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
- In Need of Guidance: Implementing MLOps in a Complex Organization as a Junior Data Engineer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Needs advice for choosing tools for my team. We use AWS.
1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling.
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Selfhosted chatGPT with local contente
even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf.
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[OC] Gender diversity in Tech companies
They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).
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Model artifacts mess and how to deal with it?
Check out Metaflow by Netflix
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Going to Production with Github Actions, Metaflow and AWS SageMaker
Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project.
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Small to Reasonable Scale MLOps - An Approach to Effective and Scalable MLOps when you're not a Giant like Google
It's undeniable that leadership is instrumental in any company and project success, however I was intrigued with one of their ML tool choices that helped them reach their goal. I was so curious about this choice that I just had to learn more about it, so in this article will be talking about a sound strategy of effectively scaling your AI/ML undertaking and a tool that makes this possible - Metaflow.
tmux
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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.
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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
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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 ( 👋 ) that would rather just have fingertip access to our common tools inside of our editor.
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Using Shell Scripting to simplify your Shopify App development workflow 🐚
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:
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Zellij – 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?
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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.
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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.
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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
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Pimp your CLI
As a developer, the command line is one of the tools you will be using most frequently. It can be intimidating to venture into the world of CLI tooling but I can assure you it is one of the most rewarding experiences too. In this post I want to walk ya'll through my personal CLI setup. It is based on 3 technologies which I'll coin as the "Holy Trinity" of the command line: TMUX, ZSH, & Neovim.
What are some alternatives?
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
zellij - A terminal workspace with batteries included
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
kitty - Cross-platform, fast, feature-rich, GPU based terminal
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]
tilix - A tiling terminal emulator for Linux using GTK+ 3
kedro-great - The easiest way to integrate Kedro and Great Expectations
toggleterm.nvim - A neovim lua plugin to help easily manage multiple terminal windows
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
i3 - A tiling window manager for X11
dvc - 🦉 ML Experiments and Data Management with Git
Mosh - Mobile Shell