talesa / amciLinks
Amortized Monte Carlo Integration
☆15Updated 5 years ago
Alternatives and similar repositories for amci
Users that are interested in amci are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- ☆37Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Pytorch implementation of Localised Generative Flows☆11Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- ☆26Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago