BayesWatch / nas-without-trainingLinks
Code for Neural Architecture Search without Training (ICML 2021)
☆472Updated 4 years ago
Alternatives and similar repositories for nas-without-training
Users that are interested in nas-without-training are comparing it to the libraries listed below
Sorting:
- Naszilla is a Python library for neural architecture search (NAS)☆313Updated 2 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆702Updated 2 years ago
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆562Updated 10 months ago
- ☆227Updated last year
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆169Updated 3 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆183Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 5 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- Neural Architecture Search (NAS) papers with code☆160Updated 3 years ago
- Understanding and Robustifying DARTS☆159Updated last year
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated 2 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago
- ☆78Updated last year
- Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)☆492Updated 2 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆139Updated 4 years ago
- Sparse learning library and sparse momentum resources.☆383Updated 3 years ago
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆480Updated 11 months ago
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- ☆67Updated 4 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 7 years ago
- ☆193Updated 4 years ago
- ☆605Updated last month
- ☆96Updated 6 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆149Updated 4 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 3 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆250Updated 2 years ago