thalitadru / LDMnet-pytorch
Implementation of LDMnet in pytorch
☆22Updated 6 years ago
Alternatives and similar repositories for LDMnet-pytorch:
Users that are interested in LDMnet-pytorch are comparing it to the libraries listed below
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆48Updated 3 years ago
- ☆16Updated 6 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 3 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- sumanabasu / Early-Prediction-of-Alzheimer-s-Disease-Progression-Using-Variational-Autoencoders-MICCAI-2019Predicts progression of Alzheimer's from MRI☆13Updated 3 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆35Updated 8 months ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 10 months ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆60Updated last year
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- supervised deep sparse coding networks☆31Updated 7 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 6 years ago
- Code for the intrinsic dimensionality estimate of data representations☆79Updated 5 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago