sbanert / large-scale-material
Material for the course Large-Scale Convex Optimisation at LTH, autumn 2020
☆14Updated 4 years ago
Alternatives and similar repositories for large-scale-material:
Users that are interested in large-scale-material are comparing it to the libraries listed below
- This repository regroups learning ressources about performance estimation problems☆12Updated 7 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆148Updated 6 months ago
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆23Updated 2 years ago
- Online variational GPs☆32Updated last year
- Lectures on Quantitative Economics Using JAX☆37Updated 2 weeks ago
- Jax SSM Library☆49Updated 2 years ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆26Updated 8 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆60Updated 4 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated 2 weeks ago
- Riemannian Optimization Using JAX☆48Updated last year
- APPM 5630 at CU Boulder☆48Updated 2 weeks ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆103Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Probabilistic Graphical Models in JAX☆14Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- ☆30Updated 2 years ago
- codes for "Universal Functional Regression with Neural Operator Flows"☆13Updated 6 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- Code for the book "The Elements of Differentiable Programming".☆81Updated last month
- ☆138Updated last week
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 6 months ago
- Mathematical Programming in JAX☆74Updated last month
- Tutorials and sampling algorithm comparisons☆74Updated this week
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago