SPHINX

dnner

Deep Neural Networks Entropy from Replicas

tramp

Tree Approximate Message Passing

Boltzmann.jl

Restricted Boltzmann Machines in Julia

DukeLecture2018

Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"

mlcourse_2019

INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker

mlphys

Travaux Pratiques -- Machine Learning for Physicists

sir_inference

GeneralizedLinearModel2017

Codes corresponding to the paper https://arxiv.org/abs/1708.03395

spiked_matrix-tensor

Integrators for Langevin State Evolution equations on the spiked matrix-tensor problem.

tramp_notebooks

Notebooks to illustrate the tramp package

AMP_tutorial

Short AMP tutorial done during Lenka and Florent's class at Duke

LowRAMP.jl

Low Rank Matrix factorization with Julia

spiked_matrix-tensor_T0

Solver of the gradient descent state evolution equation.

JuliaTutorials

A collection of Julia notebook tutorials and examples.

perturbative_mean_field_matrix_factorization

Code for the paper "Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising"

Universality-CS-2019

PhaseRetrieval_demo

Demonstration notebooks and code used for "Phase retrieval in high dimensions : Statistical and computational phase transitions"