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

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

Automated deep learning algorithms implemented in PyTorch.

"NAS evaluation is frustratingly hard", ICLR2020

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.

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

Encodings for neural architecture search

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Awesome Neural Architecture Search Papers

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

PaddleSlim is an open-source library for deep model compression and architecture search.

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

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

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

AutoGluon: AutoML for Text, Image, and Tabular Data

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

Genetic neural architecture search with Keras

a distributed Hyperband implementation on Steroids

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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

AutoML library for deep learning

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

TensorFlow implementation of PNASNet-5 on ImageNet

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

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

Reproducible Rapid Research for Neural Architecture Search (NAS)

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

my own deep learning mastery roadmap

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

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

NAS-Bench-201 API and Instruction

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

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

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Fast and flexible AutoML with learning guarantees.

Differentiable architecture search for convolutional and recurrent networks

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

PyTorch implementation of PNASNet-5 on ImageNet

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

AutoML frAmework for Neural Networks

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Awesome Resources for Advanced Computer Vision Topics

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

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

An implementation of the efficient attention module.

An unofficial api for downloading papers from SciHub via DOI, PMID

A toolbox for receptive field analysis and visualizing neural network architectures

LSH index for approximate set containment search

TACL 2020: Syntax-Guided Controlled Generation of Paraphrases

A simplified version of featuretools for Spark

ReScript bindings for react-native-paper

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

My Synology automation scripts. Making Synology NAS command line usable

MixPath: A Unified Approach for One-shot Neural Architecture Search

A collection of paper summaries from a wide range of topics related to Machine Learning

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.

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

An open source python library for automated feature engineering based on Genetic Programming

🌐👨‍💻💻 Setup your own NAS on a Raspberry Pi