yoyolicoris / pytorch-NMFLinks
A pytorch package for non-negative matrix factorization.
☆246Updated last year
Alternatives and similar repositories for pytorch-NMF
Users that are interested in pytorch-NMF are comparing it to the libraries listed below
Sorting:
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆128Updated 2 weeks ago
- Adaptive pooling operators for multiple instance learning☆78Updated 3 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆351Updated 5 years ago
- PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)☆318Updated 3 years ago
- Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmi…☆66Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 7 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆235Updated 2 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆84Updated last year
- An implementation of soft-DTW divergences.☆135Updated 4 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆123Updated 7 years ago
- Adaptive Gradient Clipping☆153Updated 3 years ago
- An implementation of SoftDTW for PyTorch.☆228Updated 5 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- DTWNet: a Dynamic Time Warping Network☆68Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- Deep Learning Model for Signal Data☆92Updated 6 years ago
- InfoMax-VAE pytorch implementation☆23Updated last year
- Official implementation of the Seq-U-Net for efficient sequence modelling☆80Updated last year
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆132Updated 2 years ago
- L1-regularized least squares with PyTorch☆72Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆326Updated 2 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆89Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Multimodal Mixture-of-Experts VAE☆220Updated 2 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆41Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Non-negative Matrix Factorization (NMF) Tensorflow Implementation☆37Updated 7 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Updated 5 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83Updated 5 years ago