rgrosse / fangLinks
code for experiments in Grosse and Salakhutdinov, 2015.
☆12Updated 8 years ago
Alternatives and similar repositories for fang
Users that are interested in fang are comparing it to the libraries listed below
Sorting:
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28Updated 6 years ago
- Jax-based MaxEnt☆17Updated 5 years ago
- ☆16Updated 2 months ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- An implementation of KFAC for TensorFlow☆198Updated 3 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Autograd extension for forward mode autodiff☆30Updated 7 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- ☆80Updated 3 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆26Updated 7 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Updated 11 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago