354 Open source projects that are alternatives of or similar to Pnasnet.pytorch

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

TensorFlow implementation of PNASNet-5 on ImageNet

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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

Differentiable architecture search for convolutional and recurrent networks

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

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

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

Awesome Neural Architecture Search Papers

Automated deep learning algorithms implemented in PyTorch.

AutoML frAmework for Neural Networks

AutoGluon: AutoML for Text, Image, and Tabular Data

a distributed Hyperband implementation on Steroids

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

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

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

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.

"NAS evaluation is frustratingly hard", ICLR2020

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

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

AutoML library for deep learning

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

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

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

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

Encodings for neural architecture search

Genetic neural architecture search with Keras

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

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

Fast and flexible AutoML with learning guarantees.

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

This repo is about NAS

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

PyTorch to Keras model convertor

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Google Cloud Platform Machine Learning Samples

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

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

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

A full pipeline AutoML tool for tabular data

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

AutoVideo: An Automated Video Action Recognition System

Automated modeling and machine learning framework FEDOT

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Automated machine learning package

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

Open Set Recognition

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

TensorFlow ImageNet - Training and SOTA checkpoints

TODS: An Automated Time-series Outlier Detection System

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

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

A Python framework for program synthesis with a focus on Automated Machine Learning.