automl / NASLibLinks
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.
☆557Updated 6 months ago
Alternatives and similar repositories for NASLib
Users that are interested in NASLib are comparing it to the libraries listed below
Sorting:
- Naszilla is a Python library for neural architecture search (NAS)☆310Updated 2 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆696Updated 2 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆466Updated 3 years ago
- Neural Architecture Search (NAS) papers with code☆160Updated 3 years ago
- Zero-Cost Proxies for Lightweight NAS☆152Updated 2 years ago
- ☆76Updated last year
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆181Updated 2 years ago
- A curated list of awesome resources combining Transformers with Neural Architecture Search☆264Updated last year
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆477Updated 7 months ago
- ☆226Updated 10 months ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆168Updated 3 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,581Updated 3 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 2 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆250Updated last year
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆156Updated 5 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆430Updated last year
- Paper lists of neural architecture search (NAS)☆130Updated 3 years ago
- NAS Benchmarks Collection☆12Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆633Updated 2 years ago
- Collection of hyperparameter optimization benchmark problems☆146Updated last week
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆740Updated last year
- [ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search☆156Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆110Updated 2 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆339Updated 11 months ago
- ☆96Updated 5 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆322Updated 2 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 4 years ago
- ☆67Updated 4 years ago