philip-bl / dctnLinks
Deep convolutional tensor network
☆11Updated 4 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"☆16Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- ☆35Updated 3 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆22Updated 2 years ago
- ☆31Updated 6 years ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆97Updated 3 years ago
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- ☆25Updated 3 years ago
- MERA tensor network for tiny object image classification☆16Updated 3 years ago
- This project aims to realize the tensor completion algorithms via tensor ring decomposition.☆12Updated 4 years ago
- Implementations for training deep quantum neural networks in Mathematica and MATLAB.☆26Updated 5 years ago
- A thoroughly investigated survey for tensorial neural networks.☆135Updated 4 months ago
- Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO☆32Updated 5 years ago
- Tensor ring low-rank factors (AAAI 2019)☆37Updated 6 years ago
- ☆15Updated 6 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆20Updated 7 years ago
- MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)☆13Updated 5 years ago
- ☆47Updated 5 years ago
- ☆8Updated 7 years ago
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆159Updated 6 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆42Updated 7 years ago
- Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial exam…☆15Updated 4 years ago
- Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.☆14Updated 4 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 3 years ago
- code to show F-Principle in the DNN training☆59Updated 2 years ago
- Code for Quantum Self-Supervised Learning☆18Updated 3 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Detecting quantum entanglement with unsupervised learning, QST☆12Updated 2 years ago
- Classification and reconstruction of optical quantum states with deep neural networks☆10Updated 3 years ago
- The project codes associated with quantum Wasserstein GAN☆53Updated 4 years ago