shape-adaptor
The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
BossNAS
(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific do…
deephyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
autodeeplab
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
NASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing inter…
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual lear…
Awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Light…
AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth…
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.