neural-architecture-search

There are 91 repositories under neural-architecture-search topic.

nni
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
Language:Python 13786
autokeras
keras-team / autokeras
AutoML library for deep learning
automl neural-architecture-search automated-machine-learning python deep-learning machine-learning autodl tensorflow keras
Language:Python 9074
hibayesian / awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
automl automated-feature-engineering hyperparameter-optimization neural-architecture-search
3921
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
Language:Python 3868
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
Language:Jupyter Notebook 3470
carpedm20 / ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
google-brain neural-architecture-search pytorch
Language:Python 2683
D-X-Y / Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
neural-architecture-search nas automl deep-learning awesome autodl hyper-parameter-optimization
Language:Python 2215
chaoyanghe / Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
federated-learning machine-learning distributed-optimization non-iid vertical-federated-learning decentralized-federated-learning hierarchical-federated-learning neural-architecture-search transfer-learning continual-learning semi-supervised-learning adversarial-attack-and-defense privacy communication-efficiency straggler-problem computation-efficiency wireless-communication interpretability incentive-mechanism computer-vision
1879
D-X-Y / AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
autodl automl nas neural-architecture-search pytorch
Language:Python 1551
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
Language:Go 1431
markdtw / awesome-architecture-search
A curated list of awesome architecture search resources
deep-learning neural-architecture-search
1176
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
Language:Python 1069
google-research / morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
automl deep-learning machine-learning neural-architecture-search python tensorflow
Language:Python 1012
joeddav / devol
Genetic neural architecture search with Keras
deep-learning genetic-algorithm machine-learning keras automl neural-architecture-search computer-vision
Language:Python 947
JiahuiYu / slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
slimmable-networks adaptive neural-architecture-search efficient on-demand automated edge-devices
Language:Python 904
guan-yuan / awesome-AutoML-and-Lightweight-Models
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.
automl meta-learning automated-feature-engineering hyperparameter-optimization architecture-search model-compression model-acceleration awesome-list neural-architecture-search nas pytorch quantization quantized-neural-network quantized-training tensorflow
827
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 microcontroller pytorch tinyml edge-computing neural-architecture-search quantization
Language:C 746
RandWireNN
seungwonpark / RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
imagenet neural-architecture-search
Language:Python 683
gigwegbe / tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
tinyml embedded-systems neural-architecture-search wake-word machine-learning computer-vision
665
automl / HpBandSter
a distributed Hyperband implementation on Steroids
bayesian-optimization hyperparameter-optimization neural-architecture-search automated-machine-learning automl
Language:Python 604
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
pytorch neural-architecture-search semantic-segmentation latency tensorrt cityscapes
Language:Python 523
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.
neural-architecture-search nas automl
Language:Python 495
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive model-selection
Language:Python 492
VITA-Group / AutoGAN
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
autogan neural-architecture-search gan pytorch cifar10
Language:Python 460
microsoft / archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
python pytorch machine-learning deep-learning neural-architecture-search nas automated-machine-learning model-compression darts petridish hyperparameter-optimization automl
Language:Python 457
titu1994 / neural-architecture-search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
keras neural-architecture-search tensorflow
Language:Python 423
jackguagua / awesome-nas-papers
Awesome Neural Architecture Search Papers
architecture-search autodl automl awesome-list nas neural-architecture-search papers
410
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
Language:Python 405
wpf535236337 / real-time-network
real-time network architecture for mobile devices and semantic segmentation
pytorch semantic-segmentation mobile-networks neural-architecture-search efficient-networks lightweightnetwoks
396
awslabs / 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
Language:Python 366
betty
leopard-ai / betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning deep-learning implicit-differentiation pytorch
Language:Python 323
microsoft / nn-Meter
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
python deep-neural-networks latency inference edge-computing edge-ai tensorflow-models onnx-models pytorch machine-learning deep-learning neural-architecture-search efficient-model
Language:Python 318
Pattio / DeepSwarm
Neural Architecture Search Powered by Swarm Intelligence 🐜
python neural-network machine-learning swarm-intelligence ant-colony-optimization neural-architecture-search
Language:Python 317
chenxi116 / PNASNet.pytorch
PyTorch implementation of PNASNet-5 on ImageNet
automl deep-learning imagenet neural-architecture-search pytorch
Language:Python 315
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
Language:Python 300
Alibaba-NLP / ACE
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
acl2021 automl dependency-parsing named-entity-recognition neural-architecture-search sentiment-analysis sequence-labeling
Language:Python 293