pymarl2 VS SimpleView

Compare pymarl2 vs SimpleView and see what are their differences.

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios) (by hijkzzz)
marl smac starcraft sota reinforcement-learning
Source Code
iclr-blogposts.github.io
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SimpleView

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline" (by princeton-vl)
point-cloud point-cloud-processing icml-2021 simpleview modelnet-dataset modelnet40 sota 3d-vision point-cloud-classification pointnet pointnet2 dgcnn rscnn scanobjectnn
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pymarl2 SimpleView
1 1
556 151
- 1.3%
5.0 2.3
4 months ago 9 months ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.
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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.

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.

SimpleView

Posts with mentions or reviews of SimpleView. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pymarl2 and SimpleView you can also consider the following projects:

nlp-recipes - Natural Language Processing Best Practices & Examples

Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

auto-sklearn - Automated Machine Learning with scikit-learn

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

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).

Open3D-PointNet - Open3D PointNet implementation with PyTorch

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

Pointnet2_PyTorch - PyTorch implementation of Pointnet2/Pointnet++

fast-reid - SOTA Re-identification Methods and Toolbox

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

pymarl2 vs nlp-recipes SimpleView vs Pointnet_Pointnet2_pytorch pymarl2 vs auto-sklearn SimpleView vs mmdetection3d pymarl2 vs ai-economist SimpleView vs Open3D-PointNet pymarl2 vs Mava SimpleView vs Pointnet2_PyTorch pymarl2 vs fast-reid pymarl2 vs Emergent-Multiagent-Strategies