83 Open source projects that are alternatives of or similar to Neural Architecture Search

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

aw_nas: A Modularized and Extensible NAS Framework

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

"NAS evaluation is frustratingly hard", ICLR2020

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Automatic DNN compression tool with various model compression and neural architecture search techniques

Neural Architecture Search Powered by Swarm Intelligence 🐜

Awesome Neural Architecture Search Papers

my own deep learning mastery roadmap

A lightweight and easy-to-use deep learning framework with neural architecture search.

AutoGluon: AutoML for Text, Image, and Tabular Data

DeepArchitect: Automatically Designing and Training Deep Architectures

This repo is about NAS

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

AutoML frAmework for Neural Networks

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

A research library for pytorch-based neural network pruning, compression, and more.

A general, modular, and programmable architecture search framework

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Reproducible Rapid Research for Neural Architecture Search (NAS)

A PyTorch implementation of NASBench

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A curated list of awesome resources combining Transformers with Neural Architecture Search

PyTorch implementation of PNASNet-5 on ImageNet

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Learnable Embedding Space for Efficient Neural Architecture Compression

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Naszilla is a Python library for neural architecture search (NAS)

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

NSGA-Net, a Neural Architecture Search Algorithm

Differentiable architecture search for convolutional and recurrent networks

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

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.

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Parallel random matrix tools and complexity for deep learning

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Encodings for neural architecture search

A toolbox for receptive field analysis and visualizing neural network architectures

Fast and flexible AutoML with learning guarantees.

real-time network architecture for mobile devices and semantic segmentation

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras