MITAutoML / accelerating_nasLinks
Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)
☆18Updated 7 years ago
Alternatives and similar repositories for accelerating_nas
Users that are interested in accelerating_nas are comparing it to the libraries listed below
Sorting:
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- ☆40Updated 6 years ago
- [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"☆93Updated 4 years ago
- Dynamic Distribution Pruning for Efficient Network Architecture Search☆47Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search☆103Updated 5 years ago
- Pytorch implementation of TRP☆45Updated 5 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆169Updated 5 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Understanding and Robustifying DARTS☆158Updated last year
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated 2 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 3 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 years ago
- ☆55Updated 6 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆40Updated 7 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- Neural architecture search(NAS)☆14Updated 6 years ago
- A neat pytorch implementation of nasnet and the ported weights from tensorflow☆76Updated 4 years ago
- ☆46Updated 5 years ago
- This repo is about NAS☆26Updated 6 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- ☆67Updated 4 years ago
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆142Updated 4 years ago