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:
- f-divergence based t-SNE☆16Updated 3 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 4 years ago
- pytorch implementation of grammar variational autoencoder☆63Updated 7 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 8 years ago
- my PhD thesis on Bayesian inference☆27Updated 12 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Active learning for deep learning☆19Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 12 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
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Some of my experiments targeting adversarial instances☆12Updated 8 years ago
- Functional ANOVA☆28Updated 11 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 7 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Updated 8 years ago
- Deep variational inference library for Keras☆15Updated 9 years ago
- VAEs on Sparse Data☆12Updated 8 years ago
- ☆74Updated 7 years ago
- Chainer implementation of Improved Techniques for Training GANs☆10Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Unsupervised learning and generative models in python/pytorch.☆117Updated 3 years ago
- Tensor Switching Networks☆12Updated 8 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 9 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Molecular dynamics trajectory analysis in Tensorflow☆37Updated 8 years ago