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2d_3d_vizualizations

bigridge

Inria internship on modern stochastic sketching methods for big data ridge regression

deepdream

flax

Flax is a neural network library for JAX that is designed for flexibility.

gowerrobert.github.io

Robert M. Gower's homepage

invrand

Inverse Random is a suite of randomized methods for inverting positive definite matrices implemented in MATLAB

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

learngithub

just me learning github

multiplescattering.jl

A Julia library for simulating, processing and plotting acoustic data from scattering problems, particularly random ones.

multiplescatteringlearnmoments.jl

A Julia library for learning the radius and concentration of a material by using the moments of simulated backscattered waves. The backscattered waves are generated by the MultipleScattering julia package

optimization_data_science_lectures

pseudoinverse

python_benchmark_test_optimization_function_single_objective

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

shallow-linear-net

sps_optimizers_with_martin_plots

A fork of Wills code with some python notebook on matrix completion and plotting 2d functions

stochopt-py

stochopt.jl

A suite of stochastic optimization methods for solving the empirical risk minimization problem.

stochoptmatlab

A suite of stochastic optimization methods, including the stochastic block BFGS method, for minimizing an average of functions (empirical risk minimization)

testing

v130

Proceedings of AISTATS 2021

ysu_stoch_lab