84 Open source projects that are alternatives of or similar to Enas Pytorch

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

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

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

Learnable Embedding Space for Efficient Neural Architecture Compression

my own deep learning mastery roadmap

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

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.

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

This repo is about NAS

Differentiable architecture search for convolutional and recurrent networks

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

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

A toolbox for receptive field analysis and visualizing neural network architectures

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

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

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

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

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

A PyTorch implementation of NASBench

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

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

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