Alternatives and similar repositories for DeepGenMSM

Users that are interested in DeepGenMSM are comparing it to the libraries listed below

• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 8 years ago
• geyang / grammar_variational_autoencoder
  pytorch implementation of grammar variational autoencoder
  ☆63Updated 7 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 3 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 12 years ago
• bgavran / Improved_WGAN
  Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
  ☆18Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 8 years ago
• 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
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 12 years ago
• HIPS / molecule-autoencoder
  A project to enable optimization of molecules by transforming them to and from a continuous representation.
  ☆155Updated 8 years ago
• izmailovpavel / TTGP
  ☆25Updated 7 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 8 years ago
• coxlab / tsnet
  Tensor Switching Networks
  ☆12Updated 8 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 3 years ago
• dreossi / analyzeNN
  ☆18Updated 6 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• mailmahee / pytorch-generative-adversarial-networks
  simple generative adversarial network (GAN) using PyTorch
  ☆32Updated 8 years ago