Alternatives and similar repositories for randomized-algorithm-class

Users that are interested in randomized-algorithm-class are comparing it to the libraries listed below

• dbindel / cs6241-s21
  Course material for Cornell CS 6241, Spring 21
  ☆10Updated 4 years ago
• lorenzrichter / PDE-backward-solver
  ☆21Updated 6 months ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• juliusberner / Deep-Multilevel-Kolmogorov-PDE-Solver
  Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation
  ☆12Updated 3 years ago
• ndexter / MLFA
  Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…
  ☆18Updated 4 years ago
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• alu042 / SDE-higham
  Some basic algorithms for stochastic differential equations in Python/NumPy
  ☆28Updated 12 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• atzberg / gmls-nets
  PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…
  ☆26Updated last year
• mroberto166 / MultilevelMachineLearning
  ☆10Updated 5 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆39Updated 5 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆28Updated 7 months ago
• stephenbeckr / time-series-class
  MATH/STAT 4540/5540 Introduction to Time Series, spring 2022
  ☆9Updated 2 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• ykasten / Convergence-Rate-NN-Different-Frequencies
  ☆9Updated 5 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆32Updated 7 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• cselab / LED
  ☆21Updated 2 years ago
• gpschool / gpss21
  ☆12Updated 2 years ago
• PredictiveIntelligenceLab / NOMAD
  ☆16Updated 9 months ago
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 2 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 6 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆14Updated 5 years ago
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆16Updated this week
• OptMLGroup / SQN
  Sampled Quasi-Newton Methods for Deep Learning
  ☆21Updated 4 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• EmoryMLIP / DynamicBlocks
  A pytorch toolbox designed for experimentation using a generalization of the Resnet design.
  ☆16Updated last year
• tailintalent / pytorch_net
  Efficient construction and manipulation of nets with PyTorch
  ☆8Updated last year