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Search results for pytorch neural architecture search

neural-architecture-search x

61 search results found

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

Darts ⭐ 2,775

Differentiable architecture search for convolutional and recurrent networks

Enas Pytorch ⭐ 2,242

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

Autodl Projects ⭐ 1,546

Automated deep learning algorithms implemented in PyTorch.

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Awesome Automl And Lightweight Models ⭐ 647

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.

Tinyengine ⭐ 614

[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

Fasterseg ⭐ 523

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

Hyperactive ⭐ 475

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

Autogan ⭐ 460

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

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

Real Time Network ⭐ 374

real-time network architecture for mobile devices and semantic segmentation

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

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

Pnasnet.pytorch ⭐ 299

PyTorch implementation of PNASNet-5 on ImageNet

Naszilla ⭐ 269

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

Nn Meter ⭐ 265

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

Randwirenn ⭐ 259

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

Deephyper ⭐ 253

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

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

Autospeech ⭐ 204

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

Atomnas ⭐ 148

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Torchprune ⭐ 130

A research library for pytorch-based neural network pruning, compression, and more.

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

Nsga Net ⭐ 114

NSGA-Net, a Neural Architecture Search Algorithm

Nas Segm Pytorch ⭐ 108

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

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

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

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

Receptive_field_analysis_toolbox ⭐ 91

A toolbox for receptive field analysis and visualizing neural network architectures

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Efficientnas ⭐ 46

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Nasbench Pytorch ⭐ 43

A PyTorch implementation of NASBench

Pocketnet ⭐ 42

Official repository for PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

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

Lighthubert ⭐ 42

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

Pytorch Cifar10 ⭐ 39

The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch

Minimal Nas ⭐ 36

Minimal implementation of a Neural Architecture Search system.

Sandwich Batch Normalization ⭐ 35

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

Intel® End-to-End AI Optimization Kit

Regnet.pytorch ⭐ 28

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

Nas Encodings ⭐ 24

Encodings for neural architecture search

Codeepneat ⭐ 19

An implementation of CoDeepNEAT using pytorch with extensions

[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

Rnn_darts_fastai ⭐ 17

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

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

Efficient Speech Processing Tookit for Automatic Speaker Recognition

Implementing The Powersign And Addsign Rule ⭐ 12

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

Gymnastics ⭐ 11

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

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

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

Auto Dynamic Deeplab ⭐ 9

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

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

Pytorch Neural Search Optimizer ⭐ 8

PyTorch implementation of Neural Optimizer Search's Optimizer_1

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

Neuralpredictor.pytorch ⭐ 7

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

Assemblenet ⭐ 5

Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch

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