yoyolicoris / pytorch-NMF
A pytorch package for non-negative matrix factorization.
☆235Updated 6 months ago
Alternatives and similar repositories for pytorch-NMF:
Users that are interested in pytorch-NMF are comparing it to the libraries listed below
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆124Updated this week
- PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)☆309Updated 3 years ago
- InfoMax-VAE pytorch implementation☆23Updated 6 months ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated last year
- L1-regularized least squares with PyTorch☆65Updated last year
- Multimodal Mixture-of-Experts VAE☆197Updated last year
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆203Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆156Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated last year
- Deep Learning Model for Signal Data☆85Updated 5 years ago
- Mutual Information in Pytorch☆108Updated last year
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆164Updated 4 years ago
- Disentanglement library for PyTorch☆277Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆310Updated 4 months ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- ☆34Updated 4 years ago
- Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…☆201Updated 9 months ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆142Updated 3 years ago
- ☆89Updated 5 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Contrastive Predictive Coding for Automatic Speaker Verification☆486Updated 5 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆332Updated 4 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆220Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmi…☆62Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆84Updated 6 years ago