Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017
☆22Sep 24, 2018Updated 7 years ago
Alternatives and similar repositories for smc2017
Users that are interested in smc2017 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sequential Monte Carlo in python☆504Feb 19, 2026Updated 5 months ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆33Sep 12, 2019Updated 6 years ago
- Sequential Monte Carlo working on top of pymc☆49Feb 21, 2019Updated 7 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 6 years ago
- Perform bayesian distribution regression☆13Mar 19, 2018Updated 8 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Particle filtering and sequential parameter inference in Python☆83Apr 22, 2023Updated 3 years ago
- Slides and code used in the lectures☆12Aug 12, 2019Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- Course material for the Collaboratory Workshop "Machine Learning with Python"☆32Feb 11, 2019Updated 7 years ago
- ☆10Apr 2, 2018Updated 8 years ago
- Deep Generative Models (Chainer)☆10Oct 12, 2017Updated 8 years ago
- Nonlinear SVGD for Learning Diversified Mixture Models☆13Jan 23, 2019Updated 7 years ago
- The Valuation of Convertible Bonds with Credit Risk (for Honours in Advanced Mathematics of Finance research project, at the University o…☆11Nov 23, 2012Updated 13 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.
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Apr 1, 2019Updated 7 years ago
- Executable form of the MiFID II RTS (Regulatory Technical Standard) documents.☆18Jun 17, 2018Updated 8 years ago
- ☆16Oct 4, 2016Updated 9 years ago
- ☆15Feb 25, 2018Updated 8 years ago
- Diffusion Net TensorFlow implementation☆10Nov 10, 2017Updated 8 years ago
- OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206☆11Aug 30, 2024Updated last year
- A project that analyses recent carbon emissions worldwide☆15Mar 26, 2024Updated 2 years ago
- Net Present Value (NPV) Simulation for Python☆15Aug 12, 2019Updated 7 years ago
- ☆15Oct 7, 2019Updated 6 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.
- ☆10Feb 19, 2019Updated 7 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- ☆11Jul 28, 2021Updated 5 years ago
- Turning Python into a probabilistic programming language☆19Sep 2, 2014Updated 11 years ago
- An easy way to use multi-GPUs to calculate multi-dimensional integration☆20Dec 8, 2022Updated 3 years ago
- Quantitative finance research tools in Python☆13Mar 8, 2019Updated 7 years ago
- Bayesian hidden Markov models toolkit☆48Aug 25, 2020Updated 5 years ago
- R package for Markov regime-switching models☆12Jan 23, 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.
- Materials for the Princeton Quant Trading Conference Chicago 2018 workshop☆13Oct 22, 2018Updated 7 years ago
- Weight Agnostic Neural Networks (in Python)☆18Jun 17, 2019Updated 7 years ago
- Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …☆13Apr 19, 2021Updated 5 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- Simple kalman filter implemented with tensorflow☆21Jan 7, 2017Updated 9 years ago
- ☆10Jul 16, 2020Updated 6 years ago
- ☆12Jul 16, 2023Updated 3 years ago