rythei / PyTorchOTLinks
implements optimal transport algorithms in pytorch
☆104Updated 3 years ago
Alternatives and similar repositories for PyTorchOT
Users that are interested in PyTorchOT are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of the optimal transport kernel embedding☆118Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Updated 4 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆79Updated 5 years ago
- ☆63Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆60Updated 6 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- ☆16Updated 5 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- ☆66Updated 6 years ago
- Implementation of the reversible residual network in pytorch☆106Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- ☆93Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Learning To Stop While Learning To Predict☆34Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago