Awesome Neural Architecture Search Papers
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Updated
Jan 31, 2024
Awesome Neural Architecture Search Papers
Evolve Flux networks from scratch!
Relentless mutation!!
Your local Flux surgeon
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Searching the best fit PVT model to COVIDx8A dataset by One-shot NAS.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
A general, modular, and programmable architecture search framework
A Fast DNN Accelerator Design Space Exploration Framework.
An up-to-date list of progress made in neural architecture search
EComp: Evolutionary Compression of Neural Networks Using a Novel Similarity Objective
Notes for doing really good software architecting.
Repository to track the progress in model compression and acceleration
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.
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Code for ''Understanding and Exploring the Network with Stochastic Architectures''
Implementation of Autoslim using Tensorflow2
A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Distributed Network Architecture Search
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