rueberger / MJHMCLinks
Python implementation of Markov Jump Hamiltonian Monte Carlo
☆24Updated 8 years ago
Alternatives and similar repositories for MJHMC
Users that are interested in MJHMC are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Exponential Machines implementation☆42Updated 9 months ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- A library built on top of Theano. TUTORIAL:☆39Updated 7 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆20Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated 2 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- ☆11Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆51Updated 8 years ago
- modular implementation of new algorithm☆13Updated 11 years ago