Projects in Awesome Lists tagged with neural-architecture-search

https://github.com/Microsoft/nni

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

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 09 Nov 2024

https://github.com/microsoft/nni

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

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 29 Sep 2024

https://github.com/keras-team/autokeras

AutoML library for deep learning

autodl automated-machine-learning automl deep-learning keras machine-learning neural-architecture-search python tensorflow

Last synced: 16 Dec 2024

https://github.com/quark0/darts

Differentiable architecture search for convolutional and recurrent networks

automl convolutional-networks deep-learning image-classification language-modeling neural-architecture-search pytorch recurrent-networks

Last synced: 20 Dec 2024

https://github.com/tensorflow/adanet

Fast and flexible AutoML with learning guarantees.

automl deep-learning distributed-training ensemble gpu learning-theory machine-learning neural-architecture-search python tensorflow tpu

Last synced: 18 Dec 2024

https://github.com/carpedm20/enas-pytorch

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

google-brain neural-architecture-search pytorch

Last synced: 20 Dec 2024

https://github.com/carpedm20/ENAS-pytorch

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

google-brain neural-architecture-search pytorch

Last synced: 05 Nov 2024

https://github.com/d-x-y/autodl-projects

Automated deep learning algorithms implemented in PyTorch.

autodl automl nas neural-architecture-search pytorch

Last synced: 20 Dec 2024

https://github.com/D-X-Y/AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch.

autodl automl nas neural-architecture-search pytorch

Last synced: 09 Nov 2024

https://github.com/kubeflow/katib

Automated Machine Learning on Kubernetes

ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow

Last synced: 17 Dec 2024

https://github.com/thumnlab/autogl

An autoML framework & toolkit for machine learning on graphs.

automl deep-learning graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search pytorch pytorch-geometric

Last synced: 18 Dec 2024

https://github.com/THUMNLab/AutoGL

An autoML framework & toolkit for machine learning on graphs.

automl deep-learning graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search pytorch pytorch-geometric

Last synced: 03 Nov 2024

https://github.com/google-research/morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

automl deep-learning machine-learning neural-architecture-search python tensorflow

Last synced: 21 Dec 2024

https://github.com/joeddav/devol

Genetic neural architecture search with Keras

automl computer-vision deep-learning genetic-algorithm keras machine-learning neural-architecture-search

Last synced: 09 Nov 2024

https://github.com/jiahuiyu/slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

adaptive automated edge-devices efficient neural-architecture-search on-demand slimmable-networks

Last synced: 18 Dec 2024

https://github.com/JiahuiYu/slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

adaptive automated edge-devices efficient neural-architecture-search on-demand slimmable-networks

Last synced: 18 Nov 2024

https://github.com/mit-han-lab/tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

c codegenerator cpp deep-learning edge-computing microcontroller neural-architecture-search pytorch quantization tinyml

Last synced: 27 Oct 2024

https://github.com/gigwegbe/tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

computer-vision embedded-systems machine-learning neural-architecture-search tinyml wake-word

Last synced: 17 Nov 2024

https://github.com/seungwonpark/randwirenn

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

imagenet neural-architecture-search

Last synced: 21 Dec 2024

https://github.com/automl/HpBandSter

a distributed Hyperband implementation on Steroids

automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search

Last synced: 09 Nov 2024

https://github.com/automl/NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

automl nas neural-architecture-search

Last synced: 23 Nov 2024

https://github.com/VITA-Group/FasterSeg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

cityscapes latency neural-architecture-search pytorch semantic-segmentation tensorrt

Last synced: 27 Nov 2024

https://github.com/vita-group/fasterseg

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

cityscapes latency neural-architecture-search pytorch semantic-segmentation tensorrt

Last synced: 21 Dec 2024

https://github.com/simonblanke/hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 19 Dec 2024

https://github.com/SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Nov 2024

https://github.com/microsoft/archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

automated-machine-learning automl darts deep-learning hyperparameter-optimization machine-learning model-compression nas neural-architecture-search petridish python pytorch

Last synced: 21 Dec 2024

https://github.com/vita-group/autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

autogan cifar10 gan neural-architecture-search pytorch

Last synced: 21 Dec 2024

https://github.com/mit-han-lab/mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

deep-learning microncontroller neural-architecture-search pytorch tinyml

Last synced: 28 Oct 2024

https://github.com/titu1994/neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

keras neural-architecture-search tensorflow

Last synced: 15 Dec 2024

https://github.com/wpf535236337/real-time-network

real-time network architecture for mobile devices and semantic segmentation

efficient-networks lightweightnetwoks mobile-networks neural-architecture-search pytorch semantic-segmentation

Last synced: 27 Oct 2024

https://github.com/syne-tune/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker

Last synced: 05 Nov 2024

https://github.com/microsoft/nn-meter

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

deep-learning deep-neural-networks edge-ai edge-computing efficient-model inference latency machine-learning neural-architecture-search onnx-models python pytorch tensorflow-models

Last synced: 20 Dec 2024

https://github.com/leopard-ai/betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

artificial-intelligence autodiff automatic-differentiation bilevel-optimization deep-learning hyperparameter-optimization implicit-differentiation machine-learning meta-learning multilevel-optimization neural-architecture-search pytorch reinforcement-learning

Last synced: 10 Nov 2024

https://github.com/Pattio/DeepSwarm

Neural Architecture Search Powered by Swarm Intelligence 🐜

ant-colony-optimization machine-learning neural-architecture-search neural-network python swarm-intelligence

Last synced: 05 Nov 2024

https://github.com/chenxi116/PNASNet.pytorch

PyTorch implementation of PNASNet-5 on ImageNet

automl deep-learning imagenet neural-architecture-search pytorch

Last synced: 31 Oct 2024

https://github.com/naszilla/naszilla

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

automl bananas cifar10 convolutional-networks convolutional-neural-networks deep-learning meta-neural-network nas-algorithms neural-architecture-search pytorch tensorflow

Last synced: 15 Dec 2024

https://github.com/deephyper/deephyper

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

automl deep-learning hpc hyperparameter-optimization keras machine-learning mpi multi-fidelity neural-architecture-search python pytorch raylib scalability tensorflow uncertainty-quantification

Last synced: 20 Dec 2024

https://github.com/datacanvasio/hypernets

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

autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning

Last synced: 15 Dec 2024

https://github.com/DataCanvasIO/Hypernets

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

autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning

Last synced: 09 Nov 2024

https://github.com/DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series

Last synced: 02 Nov 2024

https://github.com/ianwhale/nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

auto-ml deep-learning evolutionary-computation neural-architecture-search nsga-ii pytorch

Last synced: 16 Nov 2024

https://github.com/meijieru/atomnas

[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

distributed imagenet network-pruning neural-architecture-search

Last synced: 05 Nov 2024

https://github.com/vita-group/autospeech

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

automl autospeech neural-architecture-search pytorch speaker-recognition

Last synced: 19 Dec 2024

https://github.com/vita-group/tenas

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

darts-space linear-region nas-bench-201 neural-architecture-search ntk

Last synced: 20 Dec 2024

https://github.com/lightaime/sgas

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

3d-point-clouds automl bioinformatics computer-vision deep-gcns geometric-deep-learning graph-neural-networks neural-architecture-search

Last synced: 28 Oct 2024

https://github.com/drsleep/nas-segm-pytorch

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

camvid cityscapes cvpr-2019 dense-per-pixel-tasks depth-estimation neural-architecture-search pytorch real-time semantic-segmentation wacv2020

Last synced: 09 Nov 2024

https://github.com/hav4ik/Hydra

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

deep-learning multi-objective-optimization multi-task-learning neural-architecture-search pytorch

Last synced: 15 Nov 2024

https://github.com/negrinho/deep_architect_legacy

DeepArchitect: Automatically Designing and Training Deep Architectures

architecture-search auto-ml automatic-machine-learning deep-learning hyperparameter-optimization machine-learning neural-architecture-search

Last synced: 06 Dec 2024

https://github.com/PKU-DAIR/SGL

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

deep-learning geometric-deep-learning graph-neural-networks network-embedding neural-architecture-search pytorch scalable-graph-learning

Last synced: 28 Nov 2024

https://github.com/xiaomi-automl/SCARLET-NAS

Bridging the gap Between Stability and Scalability in Neural Architecture Search

efficientnet image-classification neural-architecture-search

Last synced: 04 Nov 2024

https://datawhalechina.github.io/awesome-compression/

模型压缩的小白入门教程

compression kd knowledge-distillation model-compression model-pruning model-quantization neural-architecture-search prune quantization tinyml

Last synced: 23 Sep 2024

https://github.com/changlin31/BossNAS

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

automl hybrid-neural-network nas neural-architecture-search self-supervised-learning transformer

Last synced: 15 Oct 2024

https://github.com/gmh14/RobNets

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

adversarial-attacks adversarial-examples deep-learning-architectures neural-architecture-search robustness

Last synced: 18 Nov 2024

https://github.com/negrinho/deep_architect

A general, modular, and programmable architecture search framework

architecture-search auto-ml automatic-machine-learning colab colab-notebook deep-learning deep-neural-networks hyperparameter-optimization machine-learning neural-architecture-search neural-networks pytorch tensorflow

Last synced: 06 Dec 2024

https://github.com/digantamisra98/evonorm

Unofficial PyTorch Implementation of EvoNorm

computer-vision deep-learning nas neural-architecture-search neural-networks normalization

Last synced: 08 Nov 2024

https://github.com/niutrans/naspapers

Paper lists of neural architecture search (NAS)

deep-learning machine-learning nas neural-architecture-search neural-networks

Last synced: 11 Nov 2024

https://github.com/mlrichter/receptive_field_analysis_toolbox

A toolbox for receptive field analysis and visualizing neural network architectures

deep-learning hacktoberfest machine-learning neural-architecture-optimization neural-architecture-search neural-networks pytorch receptive-field receptive-field-analysis tensorflow visualization

Last synced: 15 Dec 2024

https://github.com/chenxi116/PNASNet.TF

TensorFlow implementation of PNASNet-5 on ImageNet

automl deep-learning imagenet neural-architecture-search tensorflow

Last synced: 31 Oct 2024

https://github.com/vita-group/agd

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

compression generative-adversarial-network neural-architecture-search pytorch

Last synced: 16 Nov 2024

https://github.com/LARS-research/AutoSTR

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.

neural-architecture-search scene-text-recognition

Last synced: 03 Nov 2024

https://github.com/vita-group/asvit

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

network-complexity neural-architecture-search vision-transformer

Last synced: 16 Nov 2024

https://github.com/VITA-Group/AsViT

[ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

network-complexity neural-architecture-search vision-transformer

Last synced: 05 Nov 2024

https://github.com/microsoft/moonlit

This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

inference-efficiency model-compression neural-architecture-search token-pruning

Last synced: 18 Dec 2024

https://github.com/d-li14/regnet.pytorch

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

imagenet neural-architecture-search pretrained-models pytorch regnet resnext

Last synced: 07 Nov 2024

https://github.com/dansuh17/deep-learning-roadmap

my own deep learning mastery roadmap

ai cnn deep-learning deep-neural-networks gan gans generative-adversarial-network nas neural-architecture-search neural-network papers roadmap

Last synced: 10 Dec 2024

https://github.com/PKU-DAIR/mindware

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

automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python

Last synced: 16 Nov 2024

https://github.com/vita-group/sandwich-batch-normalization

[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang

adversarial-training batch-normalization gan nas neural-architecture-search normalization pytorch sabn sandwich-batch-normalization style-transfer

Last synced: 16 Nov 2024

https://github.com/luminxu/vipnas

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

neural-architecture-search pose-estimation vipnas

Last synced: 07 Nov 2024

https://github.com/jdai-cv/cm-nas

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

cm-nas cross-modality nas neural-architecture-search reid visible-infrared

Last synced: 07 Nov 2024

https://github.com/ultmaster/neuralpredictor.pytorch

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

automl neural-architecture-search

Last synced: 08 Nov 2024

https://github.com/naszilla/nas-encodings

Encodings for neural architecture search

automl automl-algorithms automl-experiments deep-learning nas nasbench neural-architecture-search pytorch tensorflow

Last synced: 06 Dec 2024

https://github.com/gomerudo/nas-env

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

neural-architecture-search openai-gym reinforcement-learning

Last synced: 09 Nov 2024

https://github.com/sash-a/codeepneat

An implementation of CoDeepNEAT using pytorch with extensions

automl machine-learning neat neat-algorithm neural-architecture-search neuroevolution

Last synced: 17 Nov 2024

https://github.com/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.

cifar-10 cifar10 darts iclr2020 neural-architecture-search pc-darts pcdarts tensorflow tensorflow2 tf2

Last synced: 27 Oct 2024

https://github.com/LARS-research/DiffMG

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

graph-neural-networks heterogeneous-information-networks neural-architecture-search

Last synced: 28 Nov 2024

https://github.com/anonymone/neural-architecture-search

This repo is about NAS

automl deep-neural-networks efficient-architecture-search nas neural-architecture-search optimization paper

Last synced: 02 Dec 2024

https://github.com/pprp/cvpr2022-nas-competition-track1-3th-solution

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

automl cvpr2022 icassp23 neural-architecture-search workshop-materials

Last synced: 04 Dec 2024

https://github.com/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

darts-space evolutionary-algorithms generalization linear-region nas-bench-201 neural-architecture-search ntk reinforcement-learning

Last synced: 16 Nov 2024

https://github.com/goktug97/neatest

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

evolutionary-algorithms genetic-algorithm neat neural-architecture-search neuroevolution python

Last synced: 11 Nov 2024

https://github.com/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

deep-learning mobilenet-space nas-bench-101 nas-bench-201 nasbench neural-architecture-search pytorch

Last synced: 16 Nov 2024

https://github.com/ahundt/sharpdarts

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

architecture-search cifar10 computer-vision cosine-annealing cosine-power-annealing deep-learning differentiable-hyperparamter-search hyperparameter-optimization hyperparameter-search hyperparameter-tuning imagenet learning-rate learning-rate-scheduling nas neural-architecture-search neural-networks power-cosine-annealing pytorch sota state-of-the-art

Last synced: 21 Nov 2024

https://github.com/goktug97/neat

Evolving Neural Networks Through Augmenting Topologies

genetic-algorithm neural-architecture-search neural-networks

Last synced: 11 Nov 2024

https://github.com/tinyvision/prenas

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

icml-2023 neural-architecture-search one-shot-nas pytorch transformer zero-cost-nas zero-cost-proxies

Last synced: 05 Nov 2024

https://github.com/thumnlab/autoattend

Code Implementation for AutoAttend: Automated Attention Representation Search

nas neural-architecture-search nlp

Last synced: 15 Nov 2024

https://github.com/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.

artificial-intelligence gpt4 machine-learning machine-learning-algorithms neural-architecture-search neural-networks swarms

Last synced: 09 Nov 2024

https://github.com/pprp/piconas

Modularized NAS Framework

benchmark nas neural-architecture-search

Last synced: 04 Dec 2024

https://github.com/daviddao/pytorch-neural-search-optimizer

PyTorch implementation of Neural Optimizer Search's Optimizer_1

deep-learning neural-architecture-search neural-optimizer-search optimizer pytorch

Last synced: 14 Oct 2024

https://github.com/ttiagojm/gp-cnas

Implementation example of GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming

binary-search-tree genetic-algorithm genetic-programming neural-architecture-search tensorflow2

Last synced: 10 Nov 2024

https://github.com/mahdihosseini/darts-adp

Probeable DARTS with Application to Computational Pathology [ICCV2021]

computational-pathology computer-vision deep-learning neural-architecture-search

Last synced: 24 Nov 2024

https://github.com/pprp/ofa-cifar

:star: Make Once for All support CIFAR10 dataset.

cifar10 cifar10-classification nas neural-architecture-search

Last synced: 04 Dec 2024

https://github.com/yashkant/enas-quantized-nets

Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.

automl enas keras neural-architecture-search quantized-neural-networks tensorflow

Last synced: 10 Nov 2024

https://github.com/llnl/xnas

Explainable Neural Architecture Search (XNAS)

artificial-intelligence explainability explainable-ai interpretability neural-architecture-search xai

Last synced: 11 Nov 2024

https://github.com/yashkant/pnas-binary-nets

Progressive Neural Architecture Search coupled with Binarized CNNs to search for resource efficient and accurate architectures.

automl binarized-neural-networks keras neural-architecture-search tensorflow-experiments

Last synced: 21 Dec 2024

https://github.com/sile/nasbench-rs

A Rust port of NASBench: https://github.com/google-research/nasbench

benchmark-datasets neural-architecture-search rust

Last synced: 07 Nov 2024

https://github.com/akhilpandey95/gnnnas

Work as part of ANL summer 2022 research with emphasis on utilizing symbolic programming to perform NAS on graph neural networks

graph-neural-networks graph-representation-learning neural-architecture-search representation-learning symbolic-programming

Last synced: 07 Nov 2024

https://github.com/kalifou/fitness_landscape_analysis_nas

Fitness Landscape Analysis for NAS

automl evolutionary-computation fitness-landscape-analysis neural-architecture-search searching-algorithms

Last synced: 10 Dec 2024

https://github.com/mohd-faizy/hyperparameter-tuning-with-microsoft-network-intelligence-toolkit-nni

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

automl feature-engineering hyperparameter-optimization hyperparameter-tuning microsoft-nni model-compression neural-architecture-search neural-network-intelligence nni nnictl