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124 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.

Autokeras ⭐ 9,023

AutoML library for deep learning

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

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"

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Morph Net ⭐ 1,010

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Genetic neural architecture search with Keras

Randwirenn ⭐ 663

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

Slimmable_networks ⭐ 623

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

Hpbandster ⭐ 551

a distributed Hyperband implementation on Steroids

Hyperactive ⭐ 475

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

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.

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

Syne Tune ⭐ 342

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

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

Neural Architecture Search ⭐ 312

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

Pnasnet.pytorch ⭐ 299

PyTorch implementation of PNASNet-5 on ImageNet

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

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"

Hypernets ⭐ 256

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

Deephyper ⭐ 253

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

Deepswarm ⭐ 245

Neural Architecture Search Powered by Swarm Intelligence 🐜

aw_nas: A Modularized and Extensible NAS Framework

Hyperts ⭐ 225

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

[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction

Lycoris ⭐ 188

A lightweight and easy-to-use deep learning framework with neural architecture search.

Atomnas ⭐ 148

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

Nas Benchmark ⭐ 148

[ICLR 2020] NAS evaluation is frustratingly hard

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Scarlet Nas ⭐ 141

Bridging the gap Between Stability and Scalability in Neural Architecture Search

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

Evonorm ⭐ 119

Unofficial PyTorch Implementation of EvoNorm

Nsga Net ⭐ 114

NSGA-Net, a Neural Architecture Search Algorithm

Petridishnn ⭐ 110

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

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

Bossnas ⭐ 104

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

Pnasnet.tf ⭐ 101

TensorFlow implementation of PNASNet-5 on ImageNet

Deep_architect ⭐ 98

A general, modular, and programmable architecture search framework

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

Receptive_field_analysis_toolbox ⭐ 91

A toolbox for receptive field analysis and visualizing neural network architectures

Nsganetv2 ⭐ 89

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

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

Enas Keras ⭐ 76

Keras implementation of Efficient Neural Architecture Search

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

Open Source Neural Architecture Search Toolbox for Device-aware Image Dense Prediction & Official implementation of ICCV2021 "iNAS: Integral NAS for Device-Aware Salient Object Detection"

Evoxbench ⭐ 63

Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep 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)

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

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

PyTorch implementation of Pose Neural Fabrics Search (PNFS)--Part-specific neural architecture search for human pose estimation.

Costar_plan ⭐ 49

Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

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

Lighthubert ⭐ 42

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

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

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

Pytorch Cifar10 ⭐ 39

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

Neural Architecture Search With Rl ⭐ 37

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

Unified Architecture Search with Convolution, Transformer, and MLP (ECCV 2022)

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

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

Efficient Bert ⭐ 31

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

Hierarqcal ⭐ 31

Generate hierarchical quantum circuits for Neural Architecture Search.

Intel® End-to-End AI Optimization Kit

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

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.

Learnable Embedding Space for Efficient Neural Architecture Compression

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

Nas Encodings ⭐ 24

Encodings for neural architecture search

"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

Nas Bench Macro ⭐ 21

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

Code for ViTAS_Vision Transformer Architecture Search

Codeepneat ⭐ 19

An implementation of CoDeepNEAT using pytorch with extensions

Robustarchitecturesearch ⭐ 18

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

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]

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

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

Efficient Speech Processing Tookit for Automatic Speaker Recognition

Mindware ⭐ 14

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

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

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

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

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

Nas_transformer ⭐ 12

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

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.

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

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

Neural Architecture Search ⭐ 11

Re-implementation of Neural Architecture Search using Reinforcement Learning

Gymnastics ⭐ 11

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

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