250 Open source projects that are alternatives of or similar to nas-encodings

Awesome Neural Architecture Search Papers

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

Automated deep learning algorithms implemented in PyTorch.

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

This repo is about NAS

"NAS evaluation is frustratingly hard", ICLR2020

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

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

NAS-Bench-201 API and Instruction

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

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

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

AutoML library for deep learning

Differentiable architecture search for convolutional and recurrent networks

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

a distributed Hyperband implementation on Steroids

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

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Genetic neural architecture search with Keras

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

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

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

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

Reproducible Rapid Research for Neural Architecture Search (NAS)

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

AutoML frAmework for Neural Networks

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

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

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

my own deep learning mastery roadmap

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

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

PyTorch implementation of PNASNet-5 on ImageNet

AutoGluon: AutoML for Text, Image, and Tabular Data

Fast and flexible AutoML with learning guarantees.

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

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

TensorFlow implementation of PNASNet-5 on ImageNet

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

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

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

sspender helps you suspend your server (and spindown disks) when idle.

a mini-package-manager for QNAP NAS

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

基于Tensorflow2开发的优秀扩展包及项目

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Optuna + LightGBM = OptGBM

Python package for automatically constructing features from multiple time series

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

A curated list of storage open source tools. Backups, redundancy, sharing, distribution, encryption, etc.

Differentiable architecture search for convolutional and recurrent networks

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

TrueNAS SCALE Build System

ComiGO：Simple, cross-platform manga reader。简单、跨平台的漫画阅读器。シンプルな漫画リーダー。

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

Parallel random matrix tools and complexity for deep learning

Automatic machine learning for tabular data. ⚡🔥⚡