☆98Aug 23, 2019Updated 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Encodings for neural architecture search☆29Apr 5, 2021Updated 4 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆715May 1, 2023Updated 2 years ago
- ☆68Nov 5, 2020Updated 5 years ago
- Local search for NAS☆18Nov 3, 2020Updated 5 years ago
- ☆78Apr 3, 2024Updated last year
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Mar 22, 2023Updated 3 years ago
- A learning curve benchmark on OpenML data☆34Nov 29, 2024Updated last year
- ☆20Aug 16, 2021Updated 4 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Jul 25, 2024Updated last year
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Dec 17, 2019Updated 6 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆317Dec 29, 2022Updated 3 years ago
- GBDT-NAS☆28Oct 1, 2021Updated 4 years ago
- TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size☆191Oct 6, 2022Updated 3 years ago
- Introducing diverse tasks for NAS☆52Dec 11, 2022Updated 3 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆150Sep 24, 2023Updated 2 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆219Mar 17, 2026Updated last week
- Code for Neural Architecture Search without Training (ICML 2021)☆476Aug 6, 2021Updated 4 years ago
- ☆35Sep 14, 2021Updated 4 years ago
- ☆166Mar 25, 2023Updated 3 years ago
- Understanding and Robustifying DARTS☆158Apr 3, 2024Updated last year
- Smooth Variational Graph Embeddings for Efficient Neural Architecture Search☆15Apr 8, 2024Updated last year
- "Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yu…☆27Aug 20, 2023Updated 2 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆50Jan 19, 2021Updated 5 years ago
- ☆18Nov 13, 2019Updated 6 years ago
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆586Nov 11, 2024Updated last year
- a distributed Hyperband implementation on Steroids☆628Oct 16, 2022Updated 3 years ago
- ☆29Jun 7, 2024Updated last year
- Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"☆77Apr 12, 2021Updated 4 years ago
- ☆10Jul 25, 2024Updated last year
- Automated deep learning algorithms implemented in PyTorch.☆1,588Apr 24, 2022Updated 3 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Jun 29, 2022Updated 3 years ago
- A general, modular, and programmable architecture search framework☆123Mar 24, 2023Updated 3 years ago
- [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …☆169Dec 30, 2021Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Jan 10, 2026Updated 2 months ago
- NAS-Bench-201 API and Instruction☆645Oct 31, 2025Updated 4 months ago
- Surrogate benchmarks for HPO problems☆31May 26, 2025Updated 9 months ago
- ☆16Mar 9, 2021Updated 5 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆150Jan 26, 2021Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Jun 17, 2020Updated 5 years ago