ENAS-pytorch
Architecture Discovery Tool
Automates the discovery of neural network architectures by sharing parameters between subgraphs in a large computational graph
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
3k stars
108 watching
491 forks
Language: Python
last commit: over 1 year ago google-brainneural-architecture-searchpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 84,978 |
| A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,401 |
| Pytorch implementations of various Deep NLP models from Stanford's cs-224n course | 2,957 |
| A PyTorch implementation of EfficientNet convolutional neural networks | 7,971 |
| A PyTorch-based library for training and applying Graph Neural Networks to structured data | 21,597 |
| Automated method to find optimal architecture for machine learning models | 3,926 |
| An implementation of the Graph Attention Network model using PyTorch. | 2,935 |
| An implementation of a deep neural network architecture for image classification tasks | 273 |
| Search algorithm for neural network optimization | 26 |
| A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 431 |
| A deep learning framework implementing an optical flow estimation model using PyTorch. | 3,159 |
| An open-source Python library providing a unified interface to various neural forecasting models, focusing on performance, usability, and robustness. | 3,181 |
| Implementations of popular semantic segmentation architectures using PyTorch | 3,400 |
| A comprehensive library for training and applying deep learning models for image segmentation | 9,829 |
| An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |