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Evojax Alternatives
Similar projects and alternatives to evojax
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jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
evojax reviews and mentions
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[P] EvoTorch 0.4.0 dropped with GPU-accelerated implementations of CMA-ES, MAP-Elites and NSGA-II.
Awesome results! Would love to see a comparison with other accelerated evolution methods (eg https://github.com/google/evojax)
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Online courses on statistics and multi-objective optimization
For which problems do you want to apply multiple-objective optimization? What are the objectives? https://mml-book.github.io/ is only about single objective optimization (including constraints). Multi objective reinfocement learning (https://arxiv.org/pdf/1908.08342.pdf) is not really MO-optimization. Machine learning optimization frameworks like https://github.com/google/evojax support single objective optimization and quality-diversity (MAP-elites), but not MO-optimization.
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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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Performance of Evolutionary Algorithms for Machine Learning
Googles evojax project shows that evolutionary algorithms may be applied in the machine learning domain. And https://github.com/google/jax provides means to implement these algorithms to be deployed on CPUs/GPUs or even TPUs. But some questions remain unanswered:
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[D] What's your favorite unpopular/forgotten Machine Learning method?
Check out EvoJAX if you haven't seen it! Recently released for neuroevolution
- EvoJAX: Hardware-Accelerated Neuroevolution
- Show HN: EvoJAX: Hardware-Accelerated Neuroevolution
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[P] EvoJAX: Hardware-Accelerated Neuroevolution
Code for https://arxiv.org/abs/2202.05008 found: https://github.com/google/evojax
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A note from our sponsor - SaaSHub
www.saashub.com | 23 Apr 2024
Stats
google/evojax is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of evojax is Jupyter Notebook.
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