Lecture "A computational introduction to stochastic differential equations".
☆35Mar 13, 2026Updated 5 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
- Forward-only Diffusion Probabilistic Models☆30May 16, 2026Updated 3 months ago
- ☆11Aug 20, 2026Updated last week
- Experiments with variational autoencoders in Julia☆17Sep 19, 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.
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 2024Updated 2 years ago
- Python codes for Introduction to Computational Stochastic PDE☆49Aug 16, 2026Updated 2 weeks ago
- MLE-Guided Parameter Search (AAAI 2021)☆12Sep 16, 2021Updated 4 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
- Learned incomplete factorization preconditioners using graph neural networks☆26Jan 13, 2025Updated last year
- An awesome reading list for intuitive physics raning from cognitive studies to computational studies.☆23Aug 2, 2024Updated 2 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
- ☆26Mar 11, 2026Updated 5 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Julia for Systems Biology Workshop @JuliaCon 2024☆13Jul 8, 2024Updated 2 years ago
- A demo of Bayesian neural networks, using SVI and HMC.☆13Sep 12, 2019Updated 6 years ago
- Next generation MCMC samplers with automatic differentiaion and adaptive Poisson thinning☆13Jul 14, 2026Updated last month
- Dynamic Weighted Majority for Imbalance Learning☆15Nov 4, 2019Updated 6 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆17Jul 25, 2024Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Feb 14, 2024Updated 2 years ago
- PARADIS, a lightweight and flexible weather forecast model☆30Aug 11, 2026Updated 2 weeks ago
- ☆13Nov 20, 2019Updated 6 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.
- ACDWM (Adaptive Chunk-based Dynamic Weighted Majority)☆10Nov 7, 2019Updated 6 years ago
- 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
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- Sparse, differentiable numerics for PyTorch☆20Apr 29, 2026Updated 4 months ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆12Dec 8, 2022Updated 3 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- Codebase for running (conditional) probing experiments☆21Nov 13, 2022Updated 3 years ago
- code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024☆22Jun 19, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Jul 6, 2022Updated 4 years ago
- Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it☆16Jun 26, 2026Updated 2 months ago
- Official codebase for "Score-based Diffusion Models in Function Space"☆20Jan 23, 2025Updated last year
- A deep learning based method for solving high dimensional partial differential equations based on its weak form☆26Jun 22, 2025Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years 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