ispgroupucl / layer-rotation-paper-experiments
Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?"
☆50Updated 5 years ago
Alternatives and similar repositories for layer-rotation-paper-experiments:
Users that are interested in layer-rotation-paper-experiments are comparing it to the libraries listed below
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 5 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- PyTorch implementation of shake-shake regularization☆48Updated 4 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 4 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 5 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- ☆182Updated 2 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 4 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆141Updated 3 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆135Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆44Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆207Updated 5 years ago
- Hands-on Tutorial on Automated Deep Learning☆149Updated 4 years ago
- A PyTorch implementation of MNASNET☆46Updated 6 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 5 years ago
- [WIP] Implementation of Learning Transferable Architectures for Scalable Image Recognition in Pytorch☆29Updated 7 years ago