SkafteNicki / libcpabLinks
CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy, Tensorflow and Pytorch
☆50Updated 4 years ago
Alternatives and similar repositories for libcpab
Users that are interested in libcpab are comparing it to the libraries listed below
Sorting:
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255Updated 2 years ago
- Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be u…☆50Updated 7 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆52Updated 3 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- A fully invertible U-Net for memory efficiency in Pytorch.☆128Updated 3 years ago
- Experiments with Group Equivariant Convolutions in PyTorch☆117Updated 2 years ago
- Framework for creating (partially) reversible neural networks with PyTorch☆153Updated 3 years ago
- ☆123Updated 2 years ago
- ☆28Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- ☆32Updated 5 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆92Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 7 months ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- ☆42Updated 6 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Code for "Scale-Equivariant Steerable Networks"☆71Updated 5 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- This repository is the official implementation of: Experimental design for MRI by greedy policy search (NeurIPS, 2020).☆24Updated 3 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Updated 5 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Implementation of Glow in PyTorch☆81Updated 4 years ago