jaehong31 / CGESLinks
Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017
☆31Updated 7 years ago
Alternatives and similar repositories for CGES
Users that are interested in CGES are comparing it to the libraries listed below
Sorting:
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 7 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- Low-rank convolutional neural networks☆98Updated 9 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 6 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆168Updated 6 years ago
- ☆102Updated 7 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 8 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 7 years ago
- Learning to share: simultaneous parameter tying and sparsification in deep learning☆13Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆147Updated 8 years ago
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 8 years ago
- Caffe implementation for dynamic network surgery.☆188Updated 8 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 5 years ago
- PyTorch code for training neural networks without global back-propagation☆166Updated 6 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- Cheap distillation for convolutional neural networks.☆35Updated 7 years ago
- Python implementation of the analytical solution to Variational Bayes Matrix Factorization☆32Updated 8 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 8 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago