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StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across multiple domains. It implements a generative adversarial network that serves as a deep learning image translator for modifying specific visual characteristics within an image dataset. The framework uses a single unified model to handle translations between multiple image domains rather than requiring separate pairs of models. It is a research implementation that learns mappings between different image attributes without the need for paired training data. The project covers the
Darts is a differentiable architecture search framework and library designed to automate the discovery of optimal convolutional and recurrent neural network structures. It serves as a research tool for finding high-performing cell topologies using gradient-based optimization. The framework employs a differentiable cell super-net and weight-sharing mechanisms to identify effective network connectivity. It utilizes second-order approximation to estimate the performance of discrete architectural candidates and converts learned continuous weights into discrete graph structures through genotype-to
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
The main features of carpedm20/enas-pytorch are: Computer Vision Libraries, Computer Vision Research, Model Implementations, Neural Architecture Search, Neural Network Architectures, Architecture Search.
Open-source alternatives to carpedm20/enas-pytorch include: yunjey/stargan — StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across… quark0/darts — Darts is a differentiable architecture search framework and library designed to automate the discovery of optimal… facebookresearch/pycls — Codebase for Image Classification Research, written in PyTorch. caogang/wgan-gp — A pytorch implementation of Paper "Improved Training of Wasserstein GANs". dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior… arunmallya/packnet — Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning.