titu1994 / progressive-neural-architecture-searchLinks
Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
☆118Updated 6 years ago
Alternatives and similar repositories for progressive-neural-architecture-search
Users that are interested in progressive-neural-architecture-search are comparing it to the libraries listed below
Sorting:
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search☆169Updated 4 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- ☆55Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 6 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 3 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆134Updated 6 years ago
- Neural Architecture Optimization☆285Updated 4 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- ☆136Updated 8 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆134Updated 7 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago
- ☆254Updated 4 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago