es_pytorch VS neat-python

Compare es_pytorch vs neat-python and see what are their differences.

es_pytorch

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters (by sash-a)

neat-python

Python implementation of the NEAT neuroevolution algorithm (by CodeReclaimers)
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es_pytorch neat-python
1 3
23 1,348
- -
0.0 0.0
over 2 years ago 9 months ago
Python Python
- 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.
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.

es_pytorch

Posts with mentions or reviews of es_pytorch. We have used some of these posts to build our list of alternatives and similar projects.
  • What is the greatest achievement of Genetic Algorithms[D]?
    1 project | /r/MachineLearning | 29 Dec 2020
    ES, specifically OpenAI's ES (and to an extent CMA-ES). This has been shown to be very competitive with modern state of the art RL algorithms. A huge benefit of it is that it's incredibly easy to implement (I'm gonna shamelessly plug my implementation if you want to see the inner workings)

neat-python

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

What are some alternatives?

When comparing es_pytorch and neat-python you can also consider the following projects:

muzero-general - MuZero

super-mario-neat - This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

pureples - Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.

policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

pyneat - NEAT: NeuroEvolution of Augmenting Topologies

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

TheAlgorithms - All Algorithms implemented in Python