michaelchanwahyan / latex_templates
Prof. S. Boyd's LaTeX Templates
☆13Updated 6 years ago
Alternatives and similar repositories for latex_templates:
Users that are interested in latex_templates are comparing it to the libraries listed below
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆16Updated 5 years ago
- A curated list of resources for learning Gaussian Processes☆37Updated 3 years ago
- Exponential families for JAX☆60Updated last week
- ☆10Updated 2 years ago
- An interactive visualization of convex duality (Fenchel conjugate)☆18Updated 4 years ago
- ☆16Updated last year
- Generate a customised list of publications for your LaTeX CV using BibTeX entries.☆97Updated 2 years ago
- Python interface for SCS☆42Updated last week
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆40Updated last year
- Python trust-region subproblem solvers for nonlinear optimization☆26Updated 5 months ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆25Updated 5 months ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆28Updated 6 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆68Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated 10 months ago
- Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.☆48Updated 3 years ago
- Cone program refinement☆10Updated 4 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated last month
- MATLAB codes for matrix exponential times a vector.☆32Updated 5 years ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆83Updated 3 months ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆57Updated 3 years ago
- Course notes for ECSE 506: Stochastic Control and Decision Theory☆31Updated last week
- APPM 5630 at CU Boulder☆43Updated this week
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 6 years ago
- Collection of Matrix/Linear Algebra Information☆64Updated 8 months ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆64Updated 3 months ago
- Numerical integration of Ito or Stratonovich SDEs☆159Updated last year