automl / nas_benchmarksLinks
☆96Updated 6 years ago
Alternatives and similar repositories for nas_benchmarks
Users that are interested in nas_benchmarks are comparing it to the libraries listed below
Sorting:
- ☆67Updated 4 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆313Updated 2 years ago
- ☆78Updated last year
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- ☆18Updated 5 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆183Updated 2 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- ☆83Updated 5 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆105Updated 3 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- Open source reproduction in PyTorch of "Neural Predictor for Neural Architecture Search".☆39Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆169Updated 3 years ago
- Neural Architecture Transfer (Arxiv'20), PyTorch Implementation☆155Updated 5 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆702Updated 2 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆76Updated 4 years ago
- Understanding and Robustifying DARTS☆159Updated last year
- ☆226Updated last year
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 6 years ago
- Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858☆27Updated 4 years ago
- PyTorch port of "Efficient Neural Architecture Search via Parameters Sharing"☆53Updated 7 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- Neural Architecture Optimization☆285Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆31Updated 6 months ago