ExMustang
cog
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| ExMustang | cog | |
|---|---|---|
| 0 | 11 | |
| 67 | 2,468 | |
| - | 84.2% | |
| 0.0 | 9.5 | |
| over 1 year ago | 2 days ago | |
| Elixir | Go | |
| Apache License 2.0 | Apache License 2.0 |
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.
ExMustang
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Tracking mentions began in Dec 2020.
cog
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Why companies move off Heroku (besides the cost)
Dokku Maintainer here.
Dokku also supports Dockerfiles, Docker Images, Tarballs (similar to heroku slugs), and Cloud Native Buildpacks. I'm also actively working on AWS Lambda support (both for simple usage without much config as well as SAM-based usage) and investigating Replicate's Cog[1] and Railways Nixpacks[2] functionalities for building apps.
There are quite a few options in the OSS space (as well as Commercial offerings from new startups and popular incumbents). It's an interesting space to be in, and its always fun to see how new offerings innovate on existing solutions.
[1] https://github.com/replicate/cog -
Cog: Containers for Machine Learning
Hello HN! One of the creators of Cog here.
We built this to deploy models to Replicate (https://replicate.com/), but it can also be used to deploy models to your own infra.
Andreas, my co-founder and one of the creators of Cog, used to work at Spotify. Spotify wanted to run models inside Docker containers, but Docker was too hard to use for most ML researchers. So, Andreas built a set of templates and scripts to help researchers deploy their own models.
This was mixed in with my experience working at Docker. I created Docker Compose, which makes Docker easier to use for dev environments. We were also joined by Zeke, who created Swagger (now OpenAPI), which is used to define a model’s inputs/outputs. And, many other contributors have since joined! https://github.com/replicate/cog#contributors-
It’s still early days, so expect a few rough edges, but it’s ready to use for deploying models. We’d love to hear what you think.
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Hacker News top posts: Apr 21, 2022
Cog: Containers for Machine Learning\ (8 comments)
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Show HN: Cog – Docker for Machine Learning
Hello HN!
Cog lets you package machine learning models in a standard, production-ready container.
We built this to deploy models to Replicate[0], where it has been battle hardened with hundreds of models, but it can also be used to deploy models to your own infrastructure.
Andreas, my co-founder and one of the creators of Cog, used to work at Spotify. Spotify wanted to run models inside Docker containers, but Docker was too hard to use for most ML researchers. So, Andreas built a set of templates and scripts to help researchers deploy their own models.
This was mixed in with my experience working at Docker. I created Docker Compose, which makes Docker easier to use for dev environments. We were also joined by Zeke, who created OpenAPI (née Swagger), which is used to define a model’s inputs/outputs. And, many other contributors have since joined! https://github.com/replicate/cog#contributors-
It’s still early days, so expect a few rough edges, but it’s ready to use for deploying models. We’d love to hear what you think.
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How to create a docker environment for model use?
Cog could be another option: https://github.com/replicate/cog
What are some alternatives?
cog - Bringing the power of the command line to chat
alice - A Slack bot framework for Elixir; down the rabbit hole!
ExGram - Telegram Bot API low level API and framework
hipchat_elixir
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
heroku-review-app-actions - GitHub action to automate managing review apps on your Heroku account