Explore Projects
Discover 11 open source projects
Showing 1-11 of 11 projects
microsoft/nni
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
keras-team/autokeras
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
quark0/darts
A differentiable architecture search library for convolutional and recurrent neural networks
tensorflow/adanet
A flexible AutoML framework with learning guarantees for building high-performance AI models.
carpedm20/ENAS-pytorch
A PyTorch implementation of the Efficient Neural Architecture Search (ENAS) algorithm for AI model optimization.
D-X-Y/Awesome-AutoDL
A curated list of AutoDL resources and an in-depth analysis for developers interested in automated deep learning and neural architecture search.
chaoyanghe/Awesome-Federated-Learning
An integrated federated learning library for research and production use cases.
D-X-Y/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch for AI-driven developers.
markdtw/awesome-architecture-search
A curated list of resources for neural architecture search, a technique for automated deep learning model design.
THUMNLab/AutoGL
An AutoML framework & toolkit for machine learning on graphs, using PyTorch and PyTorch Geometric.
google-research/morph-net
A fast and simple tool for resource-constrained learning of deep network structure.
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