bayesiains / reading-groupLinks
☆18Updated 5 years ago
Alternatives and similar repositories for reading-group
Users that are interested in reading-group are comparing it to the libraries listed below
Sorting:
- ☆42Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- ☆26Updated 6 years ago
- ☆37Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- ☆26Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- ☆180Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago