YangletLiu / Tensor_Layer_for_Deep_Neural_Network_Compression
Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.
☆13Updated 4 years ago
Alternatives and similar repositories for Tensor_Layer_for_Deep_Neural_Network_Compression:
Users that are interested in Tensor_Layer_for_Deep_Neural_Network_Compression are comparing it to the libraries listed below
- MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)☆13Updated 5 years ago
- A thoroughly investigated survey for tensorial neural networks.☆132Updated 3 months ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆22Updated 2 years ago
- A fully tensorized recurrent neural network using tensor-train decomposition☆25Updated 2 years ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆96Updated 3 years ago
- ☆60Updated 4 years ago
- 😎 A curated list of tensor decomposition resources for model compression.☆63Updated last week
- We implement an efficient mechanism for compressing large networks by {\em tensorizing\/} network layers: i.e. mapping layers on to high-…☆11Updated 6 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆42Updated 6 years ago
- ☆47Updated 5 years ago
- Tensor-Train decomposition in pytorch☆61Updated 3 months ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆73Updated 3 years ago
- ☆15Updated 6 years ago
- Deep convolutional tensor network☆11Updated 4 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆20Updated 6 years ago
- Tensor Train decomposition on TensorFlow☆223Updated 4 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆40Updated 6 years ago
- Tensor Network Learning with PyTorch☆295Updated 11 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Collect optimizer related papers, data, repositories☆89Updated 5 months ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- ☆12Updated 3 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆73Updated 4 years ago
- ☆8Updated 7 years ago
- Tensor Train Toolbox☆110Updated last week
- MATLAB implementation of ManPG☆12Updated 2 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 3 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 6 years ago