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Top 84 neural-architecture-search open source projects

Enas Pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Awesome Nas Papers
Awesome Neural Architecture Search Papers
Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
A lightweight and easy-to-use deep learning framework with neural architecture search.
Nsga Net
NSGA-Net, a Neural Architecture Search Algorithm
Aw nas
aw_nas: A Modularized and Extensible NAS Framework
Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)
Deep architect legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
Scarlet Nas
Bridging the gap Between Stability and Scalability in Neural Architecture Search
SGAS: Sequential Greedy Architecture Search (CVPR'2020)
Single Path One Shot Nas Mxnet
Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.
Awesome Autodl
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Nas Segm Pytorch
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Nas Benchmark
"NAS evaluation is frustratingly hard", ICLR2020
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
This directory contains code necessary to run the GraphNAS algorithm.
TensorFlow implementation of PNASNet-5 on ImageNet
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
Autodl Projects
Automated deep learning algorithms implemented in PyTorch.
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Awesome Architecture Search
A curated list of awesome architecture search resources
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Neural Architecture Search With Rl
Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
Morph Net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Slimmable networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
Awesome Automl And Lightweight Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
PaddleSlim is an open-source library for deep model compression and architecture search.
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Neural Architecture Search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](
Real Time Network
real-time network architecture for mobile devices and semantic segmentation
PyTorch implementation of PNASNet-5 on ImageNet
Awesome Automl Papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Reproducible Rapid Research for Neural Architecture Search (NAS)
Neural Architecture Search Powered by Swarm Intelligence 🐜
NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.
The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.
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