This is the Linux app named ENAS in PyTorch whose latest release can be downloaded as ENAS-pytorchsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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ENAS in PyTorch
DESCRIPTION
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and educational codebase, helping practitioners understand how ENAS works in practice and how to reproduce results on benchmark datasets. The project includes training scripts, model definitions, and search procedures that show the full workflow from architecture sampling to evaluation. Because ENAS relies on shared weights among candidate models, the implementation emphasizes efficiency and experiment reproducibility.
Features
- PyTorch implementation of Efficient Neural Architecture Search
- Controller-based architecture sampling workflow
- Parameter sharing for faster search
- Training scripts for benchmark datasets
- Research-oriented modular code structure
- Reproducible experiment configuration
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/enas-in-pytorch.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
