huangleiBuaa / OthogonalWNLinks
This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )
☆57Updated 5 years ago
Alternatives and similar repositories for OthogonalWN
Users that are interested in OthogonalWN are comparing it to the libraries listed below
Sorting:
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Riemannian approach to batch normalization☆22Updated 7 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- An implementation of shampoo☆75Updated 7 years ago
- ☆53Updated 7 years ago
- ☆46Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- ☆34Updated 6 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- implements optimal transport algorithms in pytorch☆99Updated 3 years ago
- Sliced Wasserstein Generator☆38Updated 7 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago
- ☆10Updated 11 months ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆35Updated 4 years ago
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago
- ☆65Updated 6 years ago
- ☆31Updated 4 years ago