Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
☆26Jun 7, 2018Updated 8 years ago
Alternatives and similar repositories for kernel_hmc
Users that are interested in kernel_hmc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Various estimators of the infinite dimensional exponential family model☆16May 17, 2017Updated 9 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Jan 4, 2015Updated 11 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Mar 27, 2014Updated 12 years ago
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Dec 6, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Simple tutorial to get familiar with how to program quantum computers using Qiskit☆11Sep 9, 2019Updated 6 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning☆15Jan 21, 2019Updated 7 years ago
- Deep learning library based on the gcForest algorithm☆12Dec 26, 2018Updated 7 years ago
- Some methods to sampling data points from a given distribution.☆17Jul 16, 2018Updated 8 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆29Aug 18, 2018Updated 7 years ago
- Run Jupyter Lab as a desktop application☆14Jun 12, 2020Updated 6 years ago
- Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays☆12Apr 10, 2022Updated 4 years ago
- A package for creating a matrix product state (MPS) from a free fermion (Gaussian) state.☆10Dec 6, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Groundstate Reconstructive Energies using Neural Autoregressive Distribution Estimators (GreNADE)☆10Apr 1, 2022Updated 4 years ago
- Quantum GAN algorithm based on MPS, realized by Julia.☆11Apr 5, 2019Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆16Oct 2, 2019Updated 6 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 3 years ago
- The MATLAB source code☆14Dec 2, 2019Updated 6 years ago
- A lightweight, parallel python wrapper for the GSL integration library☆15Mar 3, 2021Updated 5 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆12Sep 24, 2021Updated 4 years ago
- Input Data & Model for the EPRV3 Evidence Challenge - Start Here☆12Jun 20, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Mar 2, 2023Updated 3 years ago
- Autoregressive model for solving statistical mechanics problems☆11Mar 19, 2021Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆53May 14, 2021Updated 5 years ago
- Initial attempts at a package for defining many body systems in both quantum and statistical physics☆13May 31, 2021Updated 5 years ago
- Estimators for Information Theoretic Functionals using Influence Functions☆11Apr 17, 2016Updated 10 years ago
- A tutorial for Yao.jl☆11Oct 9, 2023Updated 2 years ago
- Notebook for illustrating the use of CMPSKit.jl and to reproduce the results from arXiv:2006.01801.☆13Nov 9, 2021Updated 4 years ago
- A Julia code for performing variational Monte Carlo (VMC) simulations of determinantal wave functions☆15Nov 16, 2017Updated 8 years ago
- Tools for using AD to optimize tensor networks, built on top of ITensor and AutoHOOT.☆14Sep 23, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Mar 20, 2020Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆32Sep 16, 2021Updated 4 years ago
- Spectrum Bifurcation RG☆12Apr 18, 2016Updated 10 years ago
- UAI 2015. Kernel-based just-in-time learning for expectation propagation☆17Jan 31, 2019Updated 7 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆342Dec 7, 2022Updated 3 years ago
- Differential Programming and Natural Evolutationary Strategies optimization algorithms for transport Majorana Zero Modes.☆14Nov 27, 2020Updated 5 years ago
- Generation of 2D points using the Poisson Disk sampling algorithm☆14Mar 13, 2019Updated 7 years ago