amardt / DeepGenMSMLinks
Code for the results of the Paper:
☆21Updated 7 years ago
Alternatives and similar repositories for DeepGenMSM
Users that are interested in DeepGenMSM are comparing it to the libraries listed below
Sorting:
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- f-divergence based t-SNE☆16Updated 2 years ago
- pytorch implementation of grammar variational autoencoder☆63Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- 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
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow☆18Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- my PhD thesis on Bayesian inference☆27Updated 12 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Some of my experiments targeting adversarial instances☆12Updated 8 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆28Updated last year
- ☆25Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- VAEs on Sparse Data☆12Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆81Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- RNNprop☆36Updated 8 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago