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Evotorch Alternatives
Similar projects and alternatives to evotorch
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evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
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SaaSHub
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talk-generator
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better evotorch alternative or higher similarity.
evotorch discussion
evotorch reviews and mentions
Posts with mentions or reviews of evotorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-26.
- [P] EvoTorch 0.4.0 dropped with GPU-accelerated implementations of CMA-ES, MAP-Elites and NSGA-II.
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Question on how to model a "discontinuous" action space
population based algos dont care about differentiability https://github.com/google/evojax https://github.com/RobertTLange/evosax https://github.com/nnaisense/evotorch https://github.com/uber-research/PyTorch-NEAT
- Should I pursue Evolutionary Strategies?
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[P] We’ve released EvoTorch 0.3.0, with VecGymNE, memory usage improvements, Colab support and more! VecGymNE enables evolutionary RL with vectorized environments and policies, especially massively parallel simulators like Brax!
Check out the release and try it now: https://github.com/nnaisense/evotorch/releases/tag/v0.3.0
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[P] Participating in the Myosuite challenge at NeurIPS2022 on dexterous control? We are releasing a baseline and starter code to help you get started using EvoTorch!
EvoTorch (evotorch.ai) makes it straightforward to apply evolutionary reinforcement learning to the challenge. We've included setup help, training and visualisation scripts, a baseline controller trained through the provided script and help for submission to the competition. Simply head to the public GitHub to get started: https://github.com/nnaisense/evotorch-myosuite-starter
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NNAISENSE Open-Sources ‘EvoTorch’: An Evolutionary Algorithm Library for the Machine Learning Community
An Advanced Evolutionary library or algorithm has been a dream of scientists and AI/ML enthusiasts since the concept was introduced. This vision has come true thanks to the scientists at NNAISENSE, a Switzerland-based AI Enterprise. They created an open-source platform called EvoTorch. When operated in combination with Machine Learning, it can solve complex operational problems in a fraction of time, with lower costs, and at a larger scale. Evolutionary algorithms act as a step toward solving cascading problems that occur when the problem’s size and complexity increase. Evolutionary algorithms make the situations easier to handle the complexity without adding to the cost, they are also much easier to connect through GPUs and CPUs parallelly to ease up the calculation time and the complexity associated with it, that the only limit to your computational power becomes your budget. The evolutionary algorithms are built in the open framework EvoTorch.
- Next-Generation Evolutionary Search, Learning and Planning
- NNAISENSE releases EvoTorch (evotorch.ai): An open-source Evolutionary Algorithm Library with multi-CPU/multi-GPU support for massive evolutionary experiments!
- NNAISENSE releases EvoTorch: An open-source Evolutionary Algorithm Library with multi-CPU/multi-GPU support for massive evolutionary experiments!
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Stats
Basic evotorch repo stats
14
1,043
4.9
14 days ago
nnaisense/evotorch is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of evotorch is Python.