83 Open source projects that are alternatives of or similar to Deepswarm

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

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

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

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

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Parallel random matrix tools and complexity for deep learning

Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.

Learnable Embedding Space for Efficient Neural Architecture Compression

A general, modular, and programmable architecture search framework

A PyTorch implementation of NASBench

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

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

NSGA-Net, a Neural Architecture Search Algorithm

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

Bridging the gap Between Stability and Scalability in Neural Architecture Search

A toolbox for receptive field analysis and visualizing neural network architectures

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Encodings for neural architecture search

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

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

TensorFlow implementation of PNASNet-5 on ImageNet

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

Automated deep learning algorithms implemented in PyTorch.

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

Awesome Neural Architecture Search Papers

A curated list of awesome architecture search resources

This repo is about NAS

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

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.

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

aw_nas: A Modularized and Extensible NAS Framework

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

DeepArchitect: Automatically Designing and Training Deep Architectures

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

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

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

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

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

"NAS evaluation is frustratingly hard", ICLR2020

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

AutoML frAmework for Neural Networks

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

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

my own deep learning mastery roadmap

This directory contains code necessary to run the GraphNAS algorithm.

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

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

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

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

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

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.

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

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

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

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

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

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