In the code, we presents attention module architecture searching for nuclei semantic segmentation and classification.

Code for Teacher Guided Search for Architectures by Generation and Evaluation (TG-SAGE)

Multi-fidelity Neural Architecture Search with Knowledge Distillation

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Understanding and Robustifying DARTS

[BMVC '21] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search

this implements a search agent that uses MLP to predict the top candidates for searching over NASBench-101

Encodings for neural architecture search

[CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"

Single Path One-Shot NAS MXNet implementation with Supernet training and searching

OSNASLib is a general one-shot NAS framework empowering uses to incorporate one-shot NAS methods into various tasks (e.g. face recongition) easily.

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

Neural Architecture Transfer (Arxiv'20), PyTorch Implementation

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

The release codes of LA-MCTS with its application to Neural Architecture Search.

[CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms

[ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment

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

Neural Architecture Optimization

[CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators

A PyTorch implementation of NASBench

A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).