AutoMLPipeline.jl VS unity-ml-agents-turret-defense

Compare AutoMLPipeline.jl vs unity-ml-agents-turret-defense and see what are their differences.

unity-ml-agents-turret-defense

A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot. (by jinglescode)
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AutoMLPipeline.jl unity-ml-agents-turret-defense
1 3
350 13
1.4% -
5.5 0.0
12 days ago over 3 years ago
HTML TeX
MIT License 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.

AutoMLPipeline.jl

Posts with mentions or reviews of AutoMLPipeline.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-11.

unity-ml-agents-turret-defense

Posts with mentions or reviews of unity-ml-agents-turret-defense. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AutoMLPipeline.jl and unity-ml-agents-turret-defense you can also consider the following projects:

MLJ.jl - A Julia machine learning framework

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Pkg.jl - Pkg - Package manager for the Julia programming language

ZeroSimROSUnity - Robotic simulation in Unity with ROS integration.

GCP-DevOpsPipelineContinuousIntegration-Deployment - Build a continuous integration pipeline using Cloud Source Repositories, Cloud Build, build triggers, and Container Registry. Deploy applications to the Google Cloud services App Engine, Kubernetes Engine, and Cloud Run.

Data-Science-Cheatsheet - A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

seq-pipeline - Workspace for data science projects and NGS pipelines. Contains RStudio, Jupyter Notebook, VSCode and file manager. Can connect to Tailscale network to bypass firewalls.

RoboLeague - A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

ultimate-volleyball - 3D RL Volleyball environment built on Unity ML-Agents

ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.