This repository contains implementations of some basic sampling methods in numpy.
☆70Mar 28, 2020Updated 6 years ago
Alternatives and similar repositories for sampling-methods-numpy
Users that are interested in sampling-methods-numpy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Notas propias para el cursos de introducción a la computación cuántica.☆12Dec 23, 2022Updated 3 years ago
- ☆15Oct 7, 2019Updated 6 years ago
- A deep learning-based framework to uniquely identify an uncorrelated, isometric and meaningful latent representation.☆19Sep 12, 2023Updated 2 years ago
- Notebooks for NYU Statistical Mechanics☆20Jul 6, 2023Updated 3 years ago
- A Flow-based Variational Autoencoder for Molecule Generation☆10Feb 21, 2022Updated 4 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.
- A variational method for fast, approximate inference for stochastic differential equations.☆45Feb 3, 2026Updated 6 months ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- Application of Markov Chain in Finance☆16Jun 29, 2021Updated 5 years ago
- Adaptive MCMC and CMA-ES Python code☆14Sep 19, 2019Updated 6 years ago
- A repository providing jupyter notebooks and simulation inputs that accompany the mini course Hands-on tutorials: Advanced sampling metho…☆25Sep 26, 2024Updated last year
- Double Deep Q-Learning for Optimal Execution implementation☆10Apr 30, 2023Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 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.
- ADVISE model for the Automatic Understanding of Visual Advertisements challenge. Please refer to our ECCV paper "ADVISE: Symbolism and Ex…☆26Nov 29, 2018Updated 7 years ago
- Some methods to sampling data points from a given distribution.☆17Jul 16, 2018Updated 8 years ago
- Robust Equilibration Detection☆33Aug 6, 2026Updated 3 weeks ago
- Deep multistep methods to solve BSDEs of first and second order for the approximation of PDE solutions☆21May 29, 2020Updated 6 years ago
- Julia package for scenario generation for stochastic programs with tail risk measure☆11Nov 16, 2022Updated 3 years ago
- Learning Protein-Ligand Properties with Atomic Environment Vectors☆10Apr 19, 2024Updated 2 years ago
- QXMD: Non-adiabatic Quantum Molecular Dynamics Simulation Engine☆14May 2, 2026Updated 3 months ago
- Scenarios generator considering space and time dependency. Includes conditional quantile regressions and copula approach.☆13Jun 16, 2016Updated 10 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 8 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.
- ☆13Aug 9, 2022Updated 4 years ago
- Simple tutorial to get familiar with how to program quantum computers using Qiskit☆11Sep 9, 2019Updated 6 years ago
- ☆39Jun 10, 2023Updated 3 years ago
- Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods☆13Nov 29, 2017Updated 8 years ago
- Implementation of Standard Gaussian Process Regression(GPR) and Sparse GPR in Matlab.☆13Mar 8, 2018Updated 8 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Jun 30, 2022Updated 4 years ago
- ☆53Jun 17, 2026Updated 2 months ago
- Pytorch implementation of Deep Hedging, Utility Maximization and Portfolio Optimization☆19Sep 22, 2024Updated last year
- Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimens…☆20Nov 12, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PhD thesis template with title page according to the University of Amsterdam.☆17Sep 12, 2021Updated 4 years ago
- An introductory workshop to protein language models☆17May 24, 2022Updated 4 years ago
- Patch files to allow post-quantum OQS key exchange libraries to be used with OpenSSH☆17Aug 30, 2022Updated 4 years ago
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆15Apr 1, 2022Updated 4 years ago
- This repository provides a framework to perform two-stage stochastic programming on a district energy system considering uncertainties in…☆36Oct 18, 2021Updated 4 years ago
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 7 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Aug 24, 2021Updated 5 years ago