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Search results for python neural architecture search
neural-architecture-search
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python
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124 search results found
Enas Pdm
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11
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
Encas
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10
NAS + Cascades
Hypernomad
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10
A library for the hyperparameter optimization of deep neural networks
Abas
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10
Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation
Aio P
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9
Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.
Randwirenn
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9
Unofficial Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Auto Dynamic Deeplab
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9
[IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation
Osnaslib
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9
OSNASLib is a general one-shot NAS framework empowering uses to incorporate one-shot NAS methods into various tasks (e.g. face recongition) easily.
Frog
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8
Differentiable neural architecture search
Pytorch Neural Search Optimizer
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8
PyTorch implementation of Neural Optimizer Search's Optimizer_1
Augmentedneuralarchitecturesearch_with_reinforce
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8
Hierarchical_nas_construction
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8
Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)
Autodispnet
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8
Code for AutoDispNet (ICCV 2019)
Gennape
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8
Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.
Svge
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7
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Piconas
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7
Modularized NAS Framework
Neat
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7
Evolving Neural Networks Through Augmenting Topologies
Ctnas Eeg
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7
Code for Cross-Task Neural Architecture Search for EEG Signals
Neuralpredictor.pytorch
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7
Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".
Lovenas
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6
LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network
Simplifiedtransformers
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6
SimplifiedTransformer simplifies transformer block without affecting training. Skip connections, projection parameters, sequential sub-blocks, and normalization layers are removed. Experimental results confirm similar training speed and performance.
Assemblenet
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5
Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch
Eeea Net
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5
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
Du Darts
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5
[BMVC 2021] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search
Contrastive Embeddings For Neural Architectures
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5
Architecture embeddings independent from the parametrization of the search space
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