insilicomedicine / TRIP
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
☆28Updated 10 months ago
Alternatives and similar repositories for TRIP
Users that are interested in TRIP are comparing it to the libraries listed below
Sorting:
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Updated 6 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆91Updated 4 years ago
- Energy-based models for atomic-resolution protein conformations☆97Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Graph Nets in pytorch☆27Updated 2 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆73Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- ☆69Updated 2 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- ☆22Updated 4 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 6 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- ☆26Updated 6 years ago
- ☆29Updated 3 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆54Updated 5 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- Molecular AutoEncoder in PyTorch☆90Updated 5 years ago