smac VS IC3Net

Compare smac vs IC3Net and see what are their differences.

IC3Net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks (by IC3Net)
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smac IC3Net
2 2
1,001 202
2.3% 0.0%
3.8 0.0
2 months ago 7 months ago
Python Python
MIT License MIT License
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.

smac

Posts with mentions or reviews of smac. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-09.

IC3Net

Posts with mentions or reviews of IC3Net. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-17.

What are some alternatives?

When comparing smac and IC3Net you can also consider the following projects:

pysc2 - StarCraft II Learning Environment

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

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.

Emergent-Multiagent-Strategies - Emergence of complex strategies through multiagent competition

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

malib - A parallel framework for population-based multi-agent reinforcement learning.

F2HabitBreaker - Overlay to stop me clicking the All Army hotkey in SC2

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

nablaDFT - nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset