fabianp / hoagLinks
Hyperparameter optimization with approximate gradient
☆66Updated 4 years ago
Alternatives and similar repositories for hoag
Users that are interested in hoag are comparing it to the libraries listed below
Sorting:
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- DrMAD☆107Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago
- ACDC: A Structured Efficient Linear Layer☆44Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- ☆64Updated 8 years ago
- ☆36Updated 10 years ago
- ☆9Updated 8 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 7 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 9 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆29Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago