wecarsoniv / beta-divergence-metricsLinks
PyTorch implementations of the beta divergence loss.
☆10Updated 3 years ago
Alternatives and similar repositories for beta-divergence-metrics
Users that are interested in beta-divergence-metrics are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆50Updated 4 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 4 years ago
- Train and visualise a latent variable model of moving objects.☆15Updated 5 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Updated 3 years ago
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆70Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- ☆42Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- ☆15Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 7 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆24Updated 3 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Updated 7 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- ☆25Updated last year
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆23Updated 4 months ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago