SkafteNicki / cuda_expmLinks
Matrix exponential in cuda for pytorch and tensorflow
☆16Updated 6 years ago
Alternatives and similar repositories for cuda_expm
Users that are interested in cuda_expm are comparing it to the libraries listed below
Sorting:
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Code release for the ICLR paper☆20Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- The differentiable OSQP solver layer for PyTorch☆62Updated 2 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- ☆49Updated 4 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆80Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago