acme VS selfhosted-apps-docker

Compare acme vs selfhosted-apps-docker and see what are their differences.

acme

A library of reinforcement learning components and agents (by google-deepmind)
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acme selfhosted-apps-docker
11 150
3,373 1,427
1.4% -
6.0 8.8
2 days ago 7 days ago
Python Shell
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

acme

Posts with mentions or reviews of acme. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-08.

selfhosted-apps-docker

Posts with mentions or reviews of selfhosted-apps-docker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

What are some alternatives?

When comparing acme and selfhosted-apps-docker you can also consider the following projects:

dm_env - A Python interface for reinforcement learning environments

mistborn

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

EteSync Server - The Etebase server (so you can run your own)

dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

docker-swag - Nginx webserver and reverse proxy with php support and a built-in Certbot (Let's Encrypt) client. It also contains fail2ban for intrusion prevention.

MPO - Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments

Whisparr

tonic - Tonic RL library

Traefik-v2-examples - Traefik v2 guide by examples

gym - A toolkit for developing and comparing reinforcement learning algorithms.

DockSTARTer - DockSTARTer helps you get started with running apps in Docker.