AdaptNAS
Architecture adapter
An approach to improve neural architecture search by adapting architectures between domains to improve generalization performance on new datasets.
A PyTorch implementation of "Adapting Neural Architectures Between Domains" in NeurIPS 2020.
7 stars
1 watching
1 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
cifar-10digitsdomain-adaptationimagenetneural-architecture-search
Related projects:
Repository | Description | Stars |
---|---|---|
microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 467 |
samsunglabs/adaptis | An instance segmentation network that adapts to varying object densities and complexities | 336 |
titu1994/neural-architecture-search | An implementation of Neural Architecture Search using Reinforcement Learning with a Controller RNN. | 432 |
deepset-ai/farm | An open-source framework for adapting representation models to various tasks and industries | 1,741 |
anjiecheng/mnasnet-pytorch | An implementation of a neural network architecture search algorithm optimized for mobile devices. | 271 |
chrisallenming/ltc-msda | An implementation of a knowledge aggregation method for adapting to multiple domains using a graph-based framework. | 68 |
eznix86/fiber-inertia | A Golang adapter for Inertia.js that enables server-side rendering with the Fiber framework. | 11 |
molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
wasidennis/adaptsegnet | This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 849 |
linnanwang/alphax-nasbench101 | An implementation of a Neural Architecture Search agent using Monte Carlo Tree Search and a predictive model for efficient search of neural network architectures on the NASBench-101 dataset. | 167 |
khanrc/pt.darts | An implementation of DARTS, a method for automatically designing neural network architectures. | 441 |
ericsun99/shufflenet-v2-pytorch | A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 430 |
easezyc/deep-transfer-learning | A collection of implementations of algorithms to adapt deep learning models from one domain to another | 892 |
datacanvasio/hyperkeras | An AutoDL tool for optimizing neural networks and hyperparameters on TensorFlow and Keras | 30 |
s-lora/s-lora | A scalable system for serving thousands of concurrent parameter-efficient fine-tuning adapters | 1,750 |