kcyu2014 / eval-nasLinks
PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
☆49Updated 5 years ago
Alternatives and similar repositories for eval-nas
Users that are interested in eval-nas are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of TRP☆45Updated 4 years ago
- ☆67Updated 4 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- ☆40Updated 5 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆48Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- ☆55Updated 6 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 5 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- Encodings for neural architecture search☆29Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆41Updated 3 years ago
- Understanding and Robustifying DARTS☆155Updated last year
- [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"☆93Updated 4 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- ☆18Updated 5 years ago
- ☆21Updated 5 years ago
- [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search☆104Updated 5 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- ☆23Updated 6 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Updated 6 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Updated 4 years ago
- ☆70Updated 5 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago