EvoTorch
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About
EvoTorch™ is a cutting-edge open-source library built to accelerate research and applications of Evolutionary Algorithms (EAs), with a strong focus on NeuroEvolution. It provides state-of-the-art algorithms and utilities, leveraging PyTorch for defining objective functions and supporting GPU acceleration. EvoTorch is designed to reduce boilerplate code, allowing users to focus on solving problems at scale. Its features include scalable parallelism across multiple CPU and GPU nodes, built on Ray and PyTorch. It offers flexibility for various tasks such as searching the space of images, programs, or designs; optimizing large-scale single/multiobjective engineering problems; implementing fast Model Predictive Control with learned dynamics models; and evolving high-performance neural controllers for complex reinforcement learning tasks (neuroevolution). Enterprise support for customization and deployment is also available from NNAISENSE.
Platform
Features
• designed to reduce boilerplate for complex problem solving
• provides state-of-the-art evolutionary algorithms and utilities
• supports model predictive control and reinforcement learning tasks
• facilitates large-scale single and multi-objective optimization
• enables scalable parallelism across multiple cpu and gpu nodes
• supports gpu acceleration for faster computations
• integrates seamlessly with pytorch for defining objective functions
• accelerates evolutionary algorithms and neuroevolution research
Pricing Plans
Enterprise Support
Unknown Price• Customization for domain-specific problems
• Support for preferred compute environments
• Production deployments
• Maintenance of trained solutions
Open-Source
Free Plan• GPU acceleration
• Multiple objectives
• Parallelized RL
• Scalable parallelism
• Exploration and optimization
• Model Predictive Control
• Neuroevolution
Job Opportunities
There are currently no job postings for this AI tool.
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