EvoTorch
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About
EvoTorch is a Python library built on PyTorch and Ray, designed to accelerate research and applications of Evolutionary Algorithms, with dedicated support for NeuroEvolution. It provides state-of-the-art algorithms and utilities for various tasks, including optimization, planning, control, and reinforcement learning. EvoTorch allows for easy scaling of experiments across multiple CPU and GPU nodes, offering flexibility in handling images, programs, designs, and other complex data. It supports single and multi-objective optimization problems and includes features like GPU acceleration, parallelized reinforcement learning, and integration with Gym environments for neuroevolution. NNAISENSE offers enterprise support for customized solutions and deployments.
Platform
Features
• gpu acceleration
• scalable parallelism
• enterprise support
• parallelized rl
• multiple objectives
• flexibility in search, optimization, planning, and control
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