duvenaud / learn-discreteLinks
Graduate topics course on learning discrete latent structure.
☆67Updated 6 years ago
Alternatives and similar repositories for learn-discrete
Users that are interested in learn-discrete are comparing it to the libraries listed below
Sorting:
- Understanding normalizing flows☆132Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- ☆168Updated 10 months ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- ☆37Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- ☆59Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 9 years ago