philip-bl / dctnLinks
Deep convolutional tensor network
☆11Updated 5 years ago
Alternatives and similar repositories for dctn
Users that are interested in dctn are comparing it to the libraries listed below
Sorting:
- Code for the paper "Tensorizing Generative Adversarial Nets"☆15Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- ☆36Updated 4 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 3 years ago
- This project aims to realize the tensor completion algorithms via tensor ring decomposition.☆12Updated 4 years ago
- ☆31Updated 6 years ago
- ☆47Updated 6 years ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆97Updated 3 years ago
- MERA tensor network for tiny object image classification☆16Updated 3 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Updated 3 years ago
- Probabilistic modelling with tensor networks☆29Updated 5 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆66Updated 2 years ago
- Tensor ring low-rank factors (AAAI 2019)☆38Updated 6 years ago
- MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)☆13Updated 6 years ago
- ☆14Updated 7 years ago
- Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.☆15Updated 4 years ago
- Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO☆33Updated 6 years ago
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆163Updated 6 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆20Updated 7 years ago
- Implementation of LDMnet in pytorch☆22Updated 6 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 5 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆43Updated 7 years ago
- Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)☆30Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆33Updated 7 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆25Updated 4 years ago
- A thoroughly investigated survey for tensorial neural networks.☆140Updated 9 months ago
- The project codes associated with quantum Wasserstein GAN☆53Updated 5 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆37Updated last year
- ☆27Updated 4 years ago