GAMES-UChile / Wasserstein-Fourier
☆13Updated 4 years ago
Alternatives and similar repositories for Wasserstein-Fourier
Users that are interested in Wasserstein-Fourier are comparing it to the libraries listed below
Sorting:
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- ☆39Updated 5 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆69Updated 2 years ago
- PyTorch implementations of the beta divergence loss.☆10Updated 3 years ago
- Time-Contrastive Learning☆65Updated 6 years ago
- Python wrapper for the DPMMSubClusterStreaming.jl Julia package.☆14Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- Unsupervised Domain Adaptation for Time Series Classification☆28Updated last year
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 10 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆60Updated 4 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆13Updated 3 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated last year
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆54Updated 3 years ago
- Benchmark time series data sets for PyTorch☆35Updated last year
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 3 years ago
- Mutual information estimators and benchmark☆49Updated 3 months ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year