SkafteNicki / libcpab
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
☆48Updated 3 years ago
Alternatives and similar repositories for libcpab:
Users that are interested in libcpab are comparing it to the libraries listed below
- Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…☆50Updated 6 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆52Updated 3 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 5 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆54Updated 5 years ago
- Pytorch Custom CUDA kernel for searchsorted☆135Updated last year
- A fully invertible U-Net for memory efficiency in Pytorch.☆122Updated 2 years ago
- ☆122Updated 2 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated last year
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆85Updated 3 weeks ago
- This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).☆22Updated 2 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆252Updated last year
- ☆32Updated 6 years ago
- ☆32Updated 5 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆89Updated 5 years ago
- Code for "Scale-Equivariant Steerable Networks"☆67Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆81Updated 6 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆78Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 9 months ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆66Updated 4 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 6 months ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- ☆35Updated 2 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 6 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- Uncertainty Estimation via Stochastic Batch Normalization☆20Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆63Updated 4 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago