Bihaqo / TT-MRFLinks
☆14Updated 10 years ago
Alternatives and similar repositories for TT-MRF
Users that are interested in TT-MRF are comparing it to the libraries listed below
Sorting:
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Legendre decomposition for tensors☆13Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆59Updated 5 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Implementation of condnets☆16Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Autograd extension for forward mode autodiff☆30Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆141Updated 8 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 6 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆58Updated 10 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆78Updated 8 years ago
- ☆67Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago