ehoogeboom / hexaconvLinks
☆64Updated 5 years ago
Alternatives and similar repositories for hexaconv
Users that are interested in hexaconv are comparing it to the libraries listed below
Sorting:
- Group Equivariant Convolutional Neural Networks☆365Updated 4 years ago
- Deep convolutional gaussian processes.☆80Updated 6 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)☆38Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- A utility library around PyTorch☆244Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- A spherical convolutional neural network for cosmology (TFv1).☆133Updated 4 years ago
- Process hexagonally sampled data with PyTorch☆94Updated 4 years ago
- ☆70Updated 2 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆234Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- A manifold optimization library for deep learning☆249Updated 4 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Experiments with Group Equivariant Convolutional Networks☆120Updated 6 years ago
- Understanding normalizing flows☆132Updated 5 years ago