es_pytorch VS pureples

Compare es_pytorch vs pureples 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)
evolutionary-strategy reinforcement-learning Gym deep-neuroevolution Pytorch neuroevolution Mpi mpi4py AI
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pureples

Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT. (by ukuleleplayer)
hyperneat es-hyperneat substrate neuroevolution python-library population hidden-nodes
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es_pytorch pureples
1 2
23 109
- -
0.0 0.0
over 2 years ago 4 months ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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)

pureples

Posts with mentions or reviews of pureples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-15.
  • How can I improve my NEAT algorithm configuration?
    2 projects | /r/learnmachinelearning | 15 Oct 2021
    ES-HYPER-NEAT does sound really interesting, but I'm facing this problem with the library: https://github.com/ukuleleplayer/pureples/issues/10. I'm passing 20 inputs but it's receiving only 5. I'm trying to go through the library files to see if I can identify the issue but had no lunch so far.

What are some alternatives?

When comparing es_pytorch and pureples you can also consider the following projects:

muzero-general - MuZero

pyneat - NEAT: NeuroEvolution of Augmenting Topologies

neat-python - Python implementation of the NEAT neuroevolution algorithm

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

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

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.

py_crypto_hd_wallet - HD wallet for cryptocurrencies based on my bip_utils library

glactools - command-line tools for the management of genotype likelihoods and allele counts

rich - Rich is a Python library for rich text and beautiful formatting in the terminal.

es_pytorch vs muzero-general pureples vs pyneat es_pytorch vs neat-python pureples vs neat-python es_pytorch vs policy-adaptation-during-deployment pureples vs super-mario-neat es_pytorch vs Super-mario-bros-PPO-pytorch pureples vs awesome-python pureples vs py_crypto_hd_wallet pureples vs glactools pureples vs rich