Awesome Open Source

Programming Languages

Search results for nas automl

33 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.

Awesome Autodl ⭐ 2,207

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

Once For All ⭐ 1,777

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Autodl Projects ⭐ 1,546

Automated deep learning algorithms implemented in PyTorch.

Cream ⭐ 1,446

This is a collection of our NAS and Vision Transformer work.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

AutoML tools chain

Awesome Automl ⭐ 785

Curating a list of AutoML-related research, tools, projects and other resources

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.

Nas Bench 201 ⭐ 619

NAS-Bench-201 API and Instruction

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.

Lightweight Neural Architecture Search ⭐ 283

This is a collection of our zero-cost NAS and efficient vision applications.

Autodeeplab ⭐ 271

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Naszilla ⭐ 269

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

Awesome Nas Papers ⭐ 258

Awesome Neural Architecture Search Papers

Hypernets ⭐ 256

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

aw_nas: A Modularized and Extensible NAS Framework

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

Fairdarts ⭐ 153

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

Nas Benchmark ⭐ 148

[ICLR 2020] NAS evaluation is frustratingly hard

Bossnas ⭐ 104

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

Distributedevolutionarycomputation ⭐ 84

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

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

Shape Adaptor ⭐ 59

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

Nas Encodings ⭐ 24

Encodings for neural architecture search

Neural Architecture Search ⭐ 21

This repo is about NAS

Code for ViTAS_Vision Transformer Architecture Search

Nas Bench Macro ⭐ 21

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

Autopanoptic ⭐ 10

Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation

Ec Nas Bench ⭐ 9

Energy Consumption-Aware Tabular Benchmark For Neural Architecture Search

Automl Nas Papers ⭐ 8

a list of papers on Auto Deep learning with Neural network architecture search

Neurocell ⭐ 7

A PyTorch Implementation for Neuro-Cell-based Evolution with Function-Preserving Mutations

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

1-33 of 33 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.