roosephu / deep_matrix_factorizationLinks
Code for Implicit Regularization in Deep Matrix Factorization.
☆37Updated 11 months ago
Alternatives and similar repositories for deep_matrix_factorization
Users that are interested in deep_matrix_factorization are comparing it to the libraries listed below
Sorting:
- The code for Differentiable Linearized ADMM (ICML 2019)☆36Updated 5 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆24Updated 2 years ago
- ☆10Updated 5 years ago
- Implementation for Denoising Graph Neural Networks☆16Updated 6 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- source code of GLISTA☆23Updated 5 years ago
- Subspace clustering through the deep learning approach☆22Updated 8 years ago
- VCCA Pytorch Implementation on MNIST dataset☆16Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated 2 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 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
- ☆35Updated 3 years ago
- PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murra…☆42Updated 4 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆25Updated 7 years ago
- Implementation of LDMnet in pytorch☆22Updated 6 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Training Neural Networks Without Gradients: A ADMM Approach☆43Updated 7 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- A Dual Framework for Low-rank Tensor Completion☆17Updated 6 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 6 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago