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178 search results found

Parallel random matrix tools and complexity for deep learning

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

Regnet.pytorch ⭐ 28

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

Official implementation of "BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation", MICCAI 2021

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

Cerebros Core Algorithm Alpha ⭐ 26

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.

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Learnable Embedding Space for Efficient Neural Architecture Compression

Nas Encodings ⭐ 24

Encodings for neural architecture search

Nas Bench Macro ⭐ 21

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

"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

Neural Architecture Search ⭐ 21

This repo is about NAS

Code for ViTAS_Vision Transformer Architecture Search

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

Auto Compression ⭐ 20

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

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

Tinyodom ⭐ 20

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Codeepneat ⭐ 19

An implementation of CoDeepNEAT using pytorch with extensions

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

[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

Robustarchitecturesearch ⭐ 18

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

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

Rnn_darts_fastai ⭐ 17

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Cvpr2022 Nas Competition Track1 3th Solution ⭐ 17

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

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

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

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

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

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

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

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

Mindware ⭐ 14

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

Efficient Speech Processing Tookit for Automatic Speaker Recognition

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

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

Deep Learning Roadmap ⭐ 13

my own deep learning mastery roadmap

Auto Nba ⭐ 13

[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

Shiftaddnas ⭐ 13

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

Supertickets ⭐ 12

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

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

Pcdarts Tf2 ⭐ 12

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.

Nas_transformer ⭐ 12

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Ozone Narx Dnn ⭐ 12

Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island Transpeciation

Macronasbenchmark ⭐ 12

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

Implementing The Powersign And Addsign Rule ⭐ 12

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

Enas Pdm ⭐ 11

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Neural Architecture Search ⭐ 11

Re-implementation of Neural Architecture Search using Reinforcement Learning

Gymnastics ⭐ 11

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

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

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

CIKM 2021: Pooling Architecture Search for Graph Classification

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

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

Auto Dynamic Deeplab ⭐ 9

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

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

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

Randwirenn ⭐ 9

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

Hierarchical_nas_construction ⭐ 8

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

Augmentedneuralarchitecturesearch_with_reinforce ⭐ 8

Pytorch Neural Search Optimizer ⭐ 8

PyTorch implementation of Neural Optimizer Search's Optimizer_1

Autodispnet ⭐ 8

Code for AutoDispNet (ICCV 2019)

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

Differentiable neural architecture search

Ctnas Eeg ⭐ 7

Code for Cross-Task Neural Architecture Search for EEG Signals

Modularized NAS Framework

Neuralpredictor.pytorch ⭐ 7

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

Evolving Neural Networks Through Augmenting Topologies

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Arch_uncert ⭐ 6

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

Simplifiedtransformers ⭐ 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.

LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network

Contrastive Embeddings For Neural Architectures ⭐ 5

Architecture embeddings independent from the parametrization of the search space

Assemblenet ⭐ 5

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

[BMVC 2021] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

Neurosymbolic Tinyml ⭐ 5

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

101-178 of 178 search results

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