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
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- ☆11Updated 9 years ago
- Exponential Machines implementation☆42Updated 8 months ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆60Updated 6 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated 2 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago