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 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
- Simple tutorial to get familiar with how to program quantum computers using Qiskit☆11Sep 9, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Deep learning library based on the gcForest algorithm☆12Dec 26, 2018Updated 7 years ago
- 実装するリスト☆10Dec 21, 2017Updated 8 years ago
- Some methods to sampling data points from a given distribution.☆17Jul 16, 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
- The source for the astropy data repository (although the primary server is not on github)☆13Jun 2, 2026Updated last week
- A package for creating a matrix product state (MPS) from a free fermion (Gaussian) state.☆10Dec 6, 2021Updated 4 years ago
- Quantum GAN algorithm based on MPS, realized by Julia.☆11Apr 5, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- 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
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 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
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- Autoregressive model for solving statistical mechanics problems☆11Mar 19, 2021Updated 5 years ago
- Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)☆12Oct 25, 2018Updated 7 years ago
- This repository contains the source code for the VFK algorithm introduced in ArXiv:2204.03454☆16Jun 10, 2025Updated last year
- 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.
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52May 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
- Convert Yao circuit to OMEinsum (tensor network) contraction.☆14Aug 11, 2024Updated last year
- 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
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆39Mar 20, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- QCHS2022 Summer School Tutorial for Yao and Bloqade☆14Jan 13, 2023Updated 3 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
- Python module that gives current information about orbital objects of interest☆12Dec 23, 2022Updated 3 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Jan 2, 2014Updated 12 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆342Dec 7, 2022Updated 3 years ago
- ☆13Oct 23, 2022Updated 3 years ago