Dejiao2018 / GrOWLLinks
Learning to share: simultaneous parameter tying and sparsification in deep learning
☆12Updated 6 years ago
Alternatives and similar repositories for GrOWL
Users that are interested in GrOWL are comparing it to the libraries listed below
Sorting:
- Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…☆28Updated 7 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 5 years ago
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆31Updated 7 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆37Updated 5 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- ☆75Updated 6 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- ☆83Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- ☆52Updated 6 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 2 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆134Updated 6 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago