Alternatives and similar repositories for large-scale-material

Users that are interested in large-scale-material are comparing it to the libraries listed below

• udellgroup / orie7391
  Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization
  ☆25Updated 3 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆31Updated last year
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆25Updated last year
• cvxgrp / dsp
  A CVXPY extension for saddle problems
  ☆26Updated 4 months ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆41Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• ericmjl / score-models
  In which I learn about score functions and how they can be used to generate data.
  ☆16Updated last year
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆48Updated this week
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆150Updated 6 months ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆62Updated 4 years ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆84Updated last month
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆33Updated last year
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated 9 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• ReactiveBayes / RxInferExamples.jl
  This repository contains examples for RxInfer.jl
  ☆22Updated this week
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 4 years ago
• cvxgrp / dmcp
  A CVXPY extension for multi-convex programming
  ☆46Updated 2 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated 7 months ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• nathanaelbosch / ProbNumDiffEq.jl
  Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
  ☆126Updated 3 weeks ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆46Updated last month
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆31Updated 6 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆87Updated 3 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆100Updated 3 months ago
• PerformanceEstimation / Learning-Performance-Estimation
  This repository regroups learning ressources about performance estimation problems
  ☆12Updated 7 months ago