automl / SVGeLinks
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
☆15Updated 2 years ago
Alternatives and similar repositories for SVGe
Users that are interested in SVGe are comparing it to the libraries listed below
Sorting:
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated 2 years ago
- Smooth Variational Graph Embeddings for Efficient Neural Architecture Search☆16Updated last year
- ☆23Updated last year
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆21Updated 10 months ago
- ☆78Updated last year
- Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)☆43Updated last year
- GitHub repository of the ICLR 2023 paper "Neural Architecture Design and Robustness: A Dataset"☆15Updated 2 years ago
- Introducing diverse tasks for NAS☆50Updated 2 years ago
- ☆29Updated last year
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆142Updated 5 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 Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated last year
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- ☆10Updated last year
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR 2021)☆52Updated 3 years ago
- ☆24Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆72Updated 7 years ago
- Local search for NAS☆18Updated 4 years ago
- Encodings for neural architecture search☆29Updated 4 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- ☆13Updated 3 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 4 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆42Updated 4 years ago
- ☆96Updated 6 years ago
- [ICLR2021 Outstanding Paper] Rethinking Architecture Selection in Differentiable NAS☆104Updated 3 years ago
- [CVPR 2024] Efficient Hyperparameter Optimization with Adaptive Fidelity Identification☆10Updated last year
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 3 years ago
- Code for paper: Neural Architecture Search in Graph Neural Networks (BRACIS 2020)☆19Updated 2 years ago