neural-architecture-search
There are 376 repositories under neural-architecture-search topic.
deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
RandWireNN
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
nsga-net
NSGA-Net, a Neural Architecture Search Algorithm
awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
aw_nas
aw_nas: A Modularized and Extensible NAS Framework
DNA
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
AtomNAS
[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
awesome-compression
模型压缩的小白入门教程
AutoSpeech
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
onn
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
GraphNAS
This directory contains code necessary to run the GraphNAS algorithm.
Lycoris
A lightweight and easy-to-use deep learning framework with neural architecture search.
TENAS
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
sgas
SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas
torchprune
A research library for pytorch-based neural network pruning, compression, and more.
nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
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.
nas-segm-pytorch
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
NAS-Benchmark
[ICLR 2020] NAS evaluation is frustratingly hard
Hydra
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
SGL
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
SCARLET-NAS
Bridging the gap Between Stability and Scalability in Neural Architecture Search
BossNAS
(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
NASPapers
Paper lists of neural architecture search (NAS)
RobNets
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
EvoNorm
Unofficial PyTorch Implementation of EvoNorm
deep_architect
A general, modular, and programmable architecture search framework
receptive_field_analysis_toolbox
A toolbox for receptive field analysis and visualizing neural network architectures
petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
AGD
[ICML 2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan (Celine) Lin, and Zhangyang (Atlas) Wang.
PNASNet.TF
TensorFlow implementation of PNASNet-5 on ImageNet
awesome-auto-graph-learning
A paper collection about automated graph learning