An open API service providing repository metadata for many open source software ecosystems.

Topic: "neural-architecture-search"

xiusu/ViTAS

Code for ViTAS_Vision Transformer Architecture Search

Language: Python - Size: 4.3 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 47 - Forks: 8

romulus0914/NASBench-PyTorch

A PyTorch implementation of NASBench

Language: Python - Size: 228 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 46 - Forks: 8

brdav/atrc

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]

Language: Python - Size: 129 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 44 - Forks: 3

MAC-AutoML/XNAS

XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.

Language: Python - Size: 15.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 8

dhruvramani/Neural-Architecture-Search-with-RL

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

Language: Python - Size: 18.6 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 41 - Forks: 7

MarSaKi/nasnet

reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller

Language: Python - Size: 22.3 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 40 - Forks: 13

ultmaster/neuralpredictor.pytorch

Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".

Language: Python - Size: 134 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 39 - Forks: 9

xiusu/NAS-Bench-Macro

NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021

Language: Python - Size: 464 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 8

chenyaofo/CTNAS 📦

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

Language: Python - Size: 227 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 4

tiangexiang/BiX-NAS

[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Language: Python - Size: 2.9 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 8

nicklashansen/minimal-nas

Minimal implementation of a Neural Architecture Search system.

Language: Python - Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 6

msuzen/bristol

Parallel random matrix tools and complexity for deep learning

Language: Jupyter Notebook - Size: 463 KB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 13

nesl/tinyodom

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Language: C++ - Size: 4.86 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 3

LARS-research/Interstellar

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

Language: Python - Size: 15.7 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 33 - Forks: 3

intel/e2eAIOK 📦

Intel® End-to-End AI Optimization Kit

Language: Jupyter Notebook - Size: 220 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 32 - Forks: 22

fei-aiart/NAS-Lung

3D NAS for Pulmonary Nodules Classification, PR 2021

Language: Python - Size: 370 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 32 - Forks: 20

cheneydon/efficient-bert

This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".

Language: Python - Size: 120 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 4

sash-a/CoDeepNEAT

An implementation of CoDeepNEAT using pytorch with extensions

Language: Python - Size: 116 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 31 - Forks: 10

DataCanvasIO/HyperKeras

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

Language: Jupyter Notebook - Size: 168 KB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 30 - Forks: 10

gomerudo/nas-env

A simple OpenAI Gym environment for Neural Architecture Search (NAS)

Language: Python - Size: 198 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 3

LARS-research/DiffMG

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Language: Python - Size: 9.89 MB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 29 - Forks: 6

naszilla/nas-encodings

Encodings for neural architecture search

Language: Python - Size: 108 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 29 - Forks: 5

Shengcao-Cao/ESNAC

Learnable Embedding Space for Efficient Neural Architecture Compression

Language: Python - Size: 24.4 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 3

david-thrower/cerebros-core-algorithm-alpha

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Language: Jupyter Notebook - Size: 56.6 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 27 - Forks: 3

peteryuX/pcdarts-tf2

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.

Language: Python - Size: 270 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 8

VITA-Group/WeakNAS

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 27 - Forks: 6

tinyvision/PreNAS

The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search

Language: Python - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 6

VITA-Group/TEGNAS

"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyang Wang

Language: Python - Size: 250 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 4

anonymone/Neural-Architecture-Search

This repo is about NAS

Size: 57.6 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 6

Junjue-Wang/LoveNAS

[ISPRS 2024] LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network

Language: Python - Size: 95.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 25 - Forks: 2

tinhb92/rnn_darts_fastai

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 2 days ago - Pushed at: about 6 years ago - Stars: 24 - Forks: 3

CownowAn/DaSS

Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)

Language: Python - Size: 226 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 1

pprp/CVPR2022-NAS-competition-Track1-3th-solution

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 3

SKKU-ESLAB/Auto-Compression

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

Language: C - Size: 106 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 21 - Forks: 18

ShunLu91/PINAT

[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

Language: Python - Size: 2.42 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 1

LARS-research/F2GNN

The released code for the paper: ''Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective" in WebConf 2022

Language: Python - Size: 970 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 21 - Forks: 2

LARS-research/PAS

The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.

Language: Python - Size: 1.26 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 3

xingchenwan/nasbowl

[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)

Language: Python - Size: 257 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 7

nesl/auritus

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Language: C++ - Size: 139 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 20 - Forks: 0

LARS-research/SANE

The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.

Language: Python - Size: 41 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 4

phython96/ARGNP

Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 2

woodywff/nas_3d_unet

Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

Language: Python - Size: 617 KB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 20 - Forks: 6

zzzxxxttt/pytorch_simple_DARTS

A simple pytorch implementation of Differentiable Architecture Search (DARTS)

Language: Python - Size: 18.6 KB - Last synced at: 12 days ago - Pushed at: almost 6 years ago - Stars: 19 - Forks: 5

shashankkotyan/RobustArchitectureSearch

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 1

goktug97/NEATEST

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

Language: Python - Size: 19.1 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 1

AIoT-MLSys-Lab/CATE

[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Language: Python - Size: 170 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 5

automl/hierarchical_nas_construction

Official repository for "Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars" (NeurIPS 2023)

Language: Python - Size: 722 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 5

guoyongcs/CNAS

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Language: Python - Size: 408 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 7

bbopt/HyperNOMAD

A library for the hyperparameter optimization of deep neural networks

Language: C++ - Size: 950 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 1

lmb-freiburg/autodispnet

Code for AutoDispNet (ICCV 2019)

Language: Python - Size: 2.42 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 0

automl/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Language: Python - Size: 10.9 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 1

LARS-research/PAS-OGB

CIKM 2021: Pooling Architecture Search for Graph Classification

Language: Python - Size: 6.43 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 8

GATECH-EIC/SuperTickets

[ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

Language: Python - Size: 286 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 0

ahundt/sharpDARTS

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Language: Python - Size: 6.31 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 4

goktug97/NEAT

Evolving Neural Networks Through Augmenting Topologies

Language: Python - Size: 14.1 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 1

chakkritte/EEEA-Net

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

Language: Python - Size: 4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 15 - Forks: 4

brdav/bmtas

Automated Search for Resource-Efficient Branched Multi-Task Networks [BMVC 2020]

Language: Python - Size: 126 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 4

lightonai/contrastive-embeddings-for-neural-architectures

Architecture embeddings independent from the parametrization of the search space

Language: Python - Size: 766 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 0

LARS-research/SNAG

Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".

Language: Python - Size: 75.2 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 1

kyegomez/SimplifiedTransformers

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.

Language: Python - Size: 2.16 MB - Last synced at: 15 days ago - Pushed at: 29 days ago - Stars: 14 - Forks: 3

jovitalukasik/SVGe

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Language: Python - Size: 10.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 2

lamda-bbo/MCTS-VS

Official implementation of NeurIPS 22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"

Language: Python - Size: 48.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2

mechanicalsea/sugar

Efficient Speech Processing Tookit for Automatic Speaker Recognition

Language: Python - Size: 16 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 4

meclotfi/HyT-NAS-Search-Algorithm

Hybrid Tiny Hardware-aware Neural Architecture Search

Language: Python - Size: 1.27 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 1

GATECH-EIC/Auto-NBA

[ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin

Language: Python - Size: 694 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 3

Lemniscate-world/Neural

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

Language: HTML - Size: 501 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 1

mohyunho/NAS_transformer

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 3

LARS-research/TREFE

Searching a High Performance Feature Extractor for Text Recognition Network. TPAMI 2022

Language: Python - Size: 134 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

jack-willturner/gymnastics

A "gym" style toolkit for building lightweight NAS systems.

Language: Python - Size: 1.91 MB - Last synced at: 25 days ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 2

hikvision-research/SlimDA

An official implementation of CVPR 2022 paper "Slimmable Domain Adaptation".

Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 2

GATECH-EIC/ShiftAddNAS

[ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks

Language: Python - Size: 10.2 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 13 - Forks: 2

lr94/abas

Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Language: Python - Size: 117 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 1

ydzhang12345/Neural-Architecture-Search

Re-implementation of Neural Architecture Search using Reinforcement Learning

Language: Python - Size: 5.21 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 3

temp3rr0r/Ozone-Narx-DNN

Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island T​ranspeciation

Language: Jupyter Notebook - Size: 7.3 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 12 - Forks: 3

ArkadiyD/MacroNASBenchmark

Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural Architecture Search", https://arxiv.org/abs/2004.08996

Language: Python - Size: 68.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 2

nesl/neurosymbolic-tinyml

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

Language: C - Size: 312 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 0

AwesomeLemon/ENCAS

NAS + Cascades

Language: Python - Size: 423 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3

jovitalukasik/AG-Net

Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"

Language: Python - Size: 4.22 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 1

Ren-Research/OneProxy

[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 0

Neoanarika/Implementing-the-PowerSign-and-AddSign-rule

Implementing the update rule found in Neural Optimizer search with Reinforcement learning

Language: Python - Size: 13.9 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 3

LARS-research/ColdNAS

Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023

Language: Python - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 2

THUMNLab/AutoAttend

Code Implementation for AutoAttend: Automated Attention Representation Search

Language: Python - Size: 449 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 3

Ascend-Research/AIO-P

Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.

Language: Python - Size: 201 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

nutellamok/advrush

Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)

Language: Python - Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 3

eric8607242/OSNASLib

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

Language: Python - Size: 2.59 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

ShunLu91/DU-DARTS

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

Language: Python - Size: 147 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 1

eric8607242/NAS_with_GNN_predictor

Neural architecture search utilizes the evolution algorithm and the GNN predictor.

Language: Python - Size: 3.25 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

chenyaofo/awesome-architecture-search

An up-to-date list of progress made in neural architecture search

Size: 41 KB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0

HankKung/Auto-Dynamic-DeepLab

[IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation

Language: Python - Size: 342 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 3

mohyunho/ENAS-PdM

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Language: Python - Size: 985 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 1

baranyildirim/EvoGAN

EvoGAN: Evolutionary Algorithm based Neural Architecture Search for Generative Adversarial Networks

Language: Python - Size: 60.6 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3

cambridge-mlg/arch_uncert

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 5

marcelovca90/auto-ml-evaluation

Code of the article "A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification".

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

HuangJunh/EPCNAS

[TEVC] Efficient Particle Swarm Optimization for Compact Neural Architecture Search (EPCNAS)

Language: Python - Size: 29.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

umair-nasir14/LLMatic

LLMatic is a 2-archive QD algorithm that uses LLMs to mutate the networks. Tested for Neural Architecture search but can easily be used for any domain.

Language: Python - Size: 68.4 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 0

Ascend-Research/GENNAPE

Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.

Language: Python - Size: 120 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

pprp/PicoNAS

Modularized NAS Framework

Language: Python - Size: 3.36 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

ShunLu91/PA-DA

[CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS

Size: 168 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

GATECH-EIC/SACoD

[ICCV 2021] "SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam" by Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Language: Python - Size: 26.1 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0

Adlik/zen_nas

Zen-NAS, a lightning fast, training-free Neural Architecture Searching algorithm

Language: Python - Size: 260 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 1

Related Topics
deep-learning 120 pytorch 94 automl 91 machine-learning 64 nas 50 tensorflow 36 hyperparameter-optimization 27 python 26 neural-network 24 deep-neural-networks 23 neural-networks 22 bayesian-optimization 19 reinforcement-learning 18 computer-vision 17 convolutional-neural-networks 17 image-classification 16 graph-neural-networks 16 keras 15 evolutionary-algorithms 13 model-compression 12 darts 12 imagenet 11 evolutionary-computation 11 architecture-search 10 semantic-segmentation 10 meta-learning 9 automated-machine-learning 9 auto-ml 9 cifar10 9 genetic-algorithm 9 hyperparameter-tuning 9 autodl 9 tinyml 9 artificial-intelligence 7 quantization 7 knowledge-distillation 7 classification 7 nas-bench-201 7 multi-objective-optimization 7 data-science 6 transformer 6 ai 6 enas 5 graph-neural-network 5 automl-algorithms 5 pytorch-implementation 5 tensorflow2 5 robustness 5 zero-cost-proxies 5 cnn 5 evolutionary-algorithm 5 neuroevolution 5 transfer-learning 5 machine-learning-algorithms 5 differentiable-architecture-search 5 optimization 5 gan 4 hardware-aware 4 llm 4 generative-adversarial-network 4 keras-tensorflow 4 nas-bench-101 4 hyper-parameter-optimization 4 benchmark 4 nlp 4 scikit-learn 4 paper 4 multi-task-learning 4 research 4 neural-architecture-optimization 4 compression 4 domain-adaptation 3 edge-computing 3 autograph 3 darts-space 3 geometric-deep-learning 3 representation-learning 3 feature-engineering 3 ensemble-learning 3 tensorflow-lite-micro 3 sparsity 3 mlops 3 lstm 3 tensor-decomposition 3 particle-swarm-optimization 3 cifar10-classification 3 nasbench 3 nsga-ii 3 training-free-nas 3 python3 3 self-supervised-learning 3 autoencoder 3 efficient-deep-learning 3 nasnet 3 human-activity-recognition 3 automated-feature-engineering 3 aaai2023 3 human-pose-estimation 3 transformers 3 segmentation 3