btaba / sinkhorn_knoppLinks
python implementation of Sinkhorn-Knopp
☆35Updated 7 years ago
Alternatives and similar repositories for sinkhorn_knopp
Users that are interested in sinkhorn_knopp are comparing it to the libraries listed below
Sorting:
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- implements optimal transport algorithms in pytorch☆104Updated 3 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- ☆53Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- A manifold optimization library for deep learning☆250Updated 4 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- ☆42Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- ☆54Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆38Updated 5 years ago
- Learning generative models with Sinkhorn Loss☆30Updated 7 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago