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.
☆575Updated last year
Alternatives and similar repositories for NASLib
Users that are interested in NASLib are comparing it to the libraries listed below
Sorting:
- Code for Neural Architecture Search without Training (ICML 2021)☆473Updated 4 years ago
- Neural Architecture Search (NAS) papers with code☆159Updated 3 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆314Updated 2 years ago
- A curated list of awesome resources combining Transformers with Neural Architecture Search☆271Updated 2 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆708Updated 2 years ago
- ☆78Updated last year
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆187Updated 3 years ago
- ☆227Updated last year
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆432Updated 2 years ago
- Paper lists of neural architecture search (NAS)☆134Updated 4 years ago
- [ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search☆158Updated 3 years ago
- NAS Benchmarks Collection☆15Updated 2 years ago
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆482Updated 2 weeks ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- NSGA-Net, a Neural Architecture Search Algorithm☆278Updated 6 years ago
- The release codes of LA-MCTS with its application to Neural Architecture Search.☆481Updated 3 years ago
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 5 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆104Updated 3 years ago
- ☆98Updated 6 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆331Updated 2 years ago
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 5 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆252Updated 2 weeks ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆760Updated 5 months ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 3 years ago
- Neural Architecture Search for Neural Network Libraries☆60Updated last year
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆168Updated 3 years ago
- ☆612Updated last week
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆650Updated 2 years ago
- ☆29Updated last year
- Automated deep learning algorithms implemented in PyTorch.☆1,582Updated 3 years ago