fast-reid VS pymarl2

Compare fast-reid vs pymarl2 and see what are their differences.

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fast-reid pymarl2
3 1
3,267 555
1.4% -
1.2 5.0
4 months ago 4 months ago
Python Python
Apache License 2.0 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.

fast-reid

Posts with mentions or reviews of fast-reid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

pymarl2

Posts with mentions or reviews of pymarl2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-17.

What are some alternatives?

When comparing fast-reid and pymarl2 you can also consider the following projects:

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

nlp-recipes - Natural Language Processing Best Practices & Examples

l2rpn-baselines - L2RPN Baselines a repository to host baselines for l2rpn competitions.

auto-sklearn - Automated Machine Learning with scikit-learn

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

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

apex-configs-by-deafps - Apex config & tweaks

SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

Hekate-Toolbox - A toolbox for Hekate

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