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63 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 ⭐ 9,067

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

Awesome Autodl ⭐ 2,222

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Autogl ⭐ 1,035

An autoML framework & toolkit for machine learning on graphs.

Awesome Architecture Search ⭐ 1,011

A curated list of awesome architecture search resources

Morph Net ⭐ 1,010

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Genetic neural architecture search with Keras

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

Hyperactive ⭐ 475

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

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

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

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"

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

Lycoris ⭐ 188

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

Deep_architect_legacy ⭐ 146

DeepArchitect: Automatically Designing and Training Deep Architectures

Torchprune ⭐ 130

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

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

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

Pnasnet.tf ⭐ 101

TensorFlow implementation of PNASNet-5 on ImageNet

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

Awesome Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

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

Naspapers ⭐ 59

Paper lists of neural architecture search (NAS)

Litmatter ⭐ 55

Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

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

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

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

Minimal Nas ⭐ 36

Minimal implementation of a Neural Architecture Search system.

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

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

Hierarqcal ⭐ 31

Generate hierarchical quantum circuits for Neural Architecture Search.

Parallel random matrix tools and complexity for deep learning

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.

Nas Encodings ⭐ 24

Encodings for neural architecture search

Code for ViTAS_Vision Transformer Architecture Search

[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"

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

Mindware ⭐ 14

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

Shiftaddnas ⭐ 13

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

Deep Learning Roadmap ⭐ 13

my own deep learning mastery roadmap

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.

Code release for Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

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

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

Pytorch Neural Search Optimizer ⭐ 8

PyTorch implementation of Neural Optimizer Search's Optimizer_1

Hierarchical_nas_construction ⭐ 8

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

[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

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