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

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

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

Reproducible Rapid Research for Neural Architecture Search (NAS)

Learnable Embedding Space for Efficient Neural Architecture Compression

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

PyTorch implementation of PNASNet-5 on ImageNet

Parallel random matrix tools and complexity for deep learning

Federated Learning Library: https://fedml.ai

A PyTorch implementation of NASBench

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

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

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

Differentiable architecture search for convolutional and recurrent networks

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

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

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.

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

A toolbox for receptive field analysis and visualizing neural network architectures

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

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

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

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

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

Encodings for neural architecture search

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

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

Fast and flexible AutoML with learning guarantees.

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

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.

my own deep learning mastery roadmap

real-time network architecture for mobile devices and semantic segmentation

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.

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

This repo is about NAS

AutoGluon: AutoML for Text, Image, and Tabular Data

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

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

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

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

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

AutoML library for deep learning

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

Neural Architecture Search Powered by Swarm Intelligence 🐜

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

a distributed Hyperband implementation on Steroids

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

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

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

Genetic neural architecture search with Keras

Awesome Neural Architecture Search Papers

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

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

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

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

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

Implement Differentiable Architecture Search (DARTS) for RNN with fastai