darts
Architecture finder
Automated method to find optimal architecture for machine learning models
Differentiable architecture search for convolutional and recurrent networks
4k stars
86 watching
843 forks
Language: Python
last commit: over 5 years agoLinked from 1 awesome list
automlconvolutional-networksdeep-learningimage-classificationlanguage-modelingneural-architecture-searchpytorchrecurrent-networks
Related projects:
| Repository | Description | Stars |
|---|---|---|
| An implementation of DARTS, a method for automatically designing neural network architectures. | 443 | |
| An implementation of a deep neural network architecture for image classification tasks | 273 | |
| A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 431 | |
| Automates the discovery of neural network architectures by sharing parameters between subgraphs in a large computational graph | 2,709 | |
| A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch | 577 | |
| A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 | |
| A comprehensive PyTorch-based framework for computer vision tasks | 2,249 | |
| An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 | |
| A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,401 | |
| An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. | 334 | |
| A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 | |
| An empirical evaluation of generic convolutional and recurrent networks for sequence modeling | 4,204 | |
| PyTorch implementation of PNASNet-5 architecture | 317 | |
| A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 | |
| An implementation of Differentiable Neural Computers and family for PyTorch, enabling scalable memory-augmented neural networks. | 338 |