rfeinman / pytorch-lasso
L1-regularized least squares with PyTorch
☆66Updated 2 years ago
Alternatives and similar repositories for pytorch-lasso:
Users that are interested in pytorch-lasso are comparing it to the libraries listed below
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆52Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation☆25Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- A Python implementation of Monge optimal transportation☆49Updated last year
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Python and NumPy extension module implementing the generalized signular value decomposition (GSVD).☆33Updated 5 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆42Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 11 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated last month
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆48Updated 2 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆96Updated 3 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆35Updated 3 months ago
- Regression datasets from the UCI repository with standardized test-train splits.☆44Updated 2 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆124Updated 2 weeks ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆45Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated last month
- ☆45Updated last year
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated last year