RaphaelArkadyMeyerNYU / HutchPlusPlus
Code for Hutch++: Optimal Stochastic Trace Estimation
☆11Updated 3 years ago
Alternatives and similar repositories for HutchPlusPlus:
Users that are interested in HutchPlusPlus are comparing it to the libraries listed below
- Hierarchical variational models for physics.☆17Updated 4 years ago
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆13Updated last year
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated last year
- Continuous-time gradient flow for generative modeling and variational inference☆30Updated 6 years ago
- ☆49Updated 2 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- orbital MCMC☆10Updated 3 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Dive into Jax, Flax, XLA and C++☆31Updated 4 years ago
- ☆15Updated 4 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Pytorch implementation of Localised Generative Flows☆11Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- A tool for weighted model counting through tensor network contraction☆21Updated 3 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated 3 weeks ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- ☆80Updated 3 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- An example showing how to use jax to train resnet50 on multi-node multi-GPU☆20Updated 2 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆32Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- A Low-level first-order probabilistic programming language, with in built translation constraints for automatic model checking. A flexibl…☆13Updated 5 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago