Alternatives and similar repositories for DD-VAE

Users that are interested in DD-VAE are comparing it to the libraries listed below

• insilicomedicine / TRIP
  A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
  ☆28Updated last year
• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 7 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• ibm-research-tokyo / graph_grammar
  Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"
  ☆39Updated 6 months ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆59Updated 4 years ago
• horacepan / CCN
  Sample pytorch implementation of Covariant Compositional Networks
  ☆13Updated 7 years ago
• qslim / epcb-gnns
  ☆10Updated 3 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆92Updated 4 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆27Updated 7 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• benatorc / PA-Graph-Transformer
  ☆43Updated 2 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆93Updated 3 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆28Updated 7 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• chaoyan1037 / Re-balanced-VAE
  Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
  ☆11Updated 2 years ago
• CHARM-Tx / linear_mem_attention_pytorch
  Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
  ☆12Updated 3 years ago
• geyang / grammar_variational_autoencoder
  pytorch implementation of grammar variational autoencoder
  ☆63Updated 6 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆74Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• LCS2-IIITD / TransEvolve
  ☆11Updated 3 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• abdulfatir / planar-flow-pytorch
  Pytorch implementation of Planar Flow
  ☆17Updated 5 years ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 4 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• nyu-dl / dl4chem-geometry
  ☆63Updated 6 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago