Lecture "A computational introduction to stochastic differential equations".
☆35Mar 13, 2026Updated 3 months ago
Alternatives and similar repositories for computational-sde-intro-lecture
Users that are interested in computational-sde-intro-lecture are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- Code repository for Particle Denoising Diffusion Sampler☆15Apr 2, 2024Updated 2 years ago
- Pseudospectral PDE solver☆11Jun 24, 2025Updated 11 months ago
- ☆11Jun 11, 2026Updated last week
- Experiments with variational autoencoders in Julia☆17Sep 19, 2019Updated 6 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.
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 2024Updated 2 years ago
- [WNGT(2019)] On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation☆11Apr 27, 2022Updated 4 years ago
- A repository for the development of data analysis tools for replica exchange molecular dynamics (REMD) simulations☆14Feb 20, 2023Updated 3 years ago
- A scientific computing book for physicists, with Julia programming language☆19Jan 29, 2025Updated last year
- Bayesian neural nets trained with Hamiltonian Monte Carlo☆10Sep 28, 2018Updated 7 years ago
- ☆21Mar 11, 2026Updated 3 months ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated last year
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Mar 21, 2017Updated 9 years ago
- A demo of Bayesian neural networks, using SVI and HMC.☆13Sep 12, 2019Updated 6 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.
- ExponentialFamily.jl is a Julia package that extends the functionality of Distributions.jl by providing a collection of exponential famil…☆14Apr 23, 2026Updated last month
- Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture …☆16May 6, 2025Updated last year
- Official code release of Hilbert Diffusion Model (PyTorch ver.)☆21Aug 17, 2024Updated last year
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Feb 14, 2024Updated 2 years ago
- Julia for Systems Biology Workshop @JuliaCon 2024☆13Jul 8, 2024Updated last year
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆12Dec 8, 2022Updated 3 years ago
- Graphenee - Enterprise Application Development Framework☆16Apr 2, 2026Updated 2 months 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.
- code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024☆22Jun 19, 2025Updated 11 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- A small Lie library for Python☆15Apr 13, 2024Updated 2 years ago
- Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it☆16Updated this week
- Weird autoencoder experiments☆25May 20, 2026Updated 3 weeks ago
- ☆12Jul 6, 2022Updated 3 years ago
- Codebase for running (conditional) probing experiments☆21Nov 13, 2022Updated 3 years ago
- Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimens…☆21Nov 12, 2020Updated 5 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆75Mar 14, 2025Updated last year
- 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.
- Pretraining codes for ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text☆20Feb 16, 2026Updated 4 months ago
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- ☆17Jun 10, 2026Updated last week
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆23Jan 19, 2026Updated 4 months ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆14Aug 5, 2022Updated 3 years ago