Raman-Sheshka

Boltzmann.jl

Restricted Boltzmann Machines in Julia

curvedSpaceVertexModel

An extension of the previous cellGPU package (and, currently, less well documented), that allows for simulations of 2D vertex models in curved space

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

DeePyMoD_tensorflow

This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyMoD_torch

discovery-of-physics-from-data

Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"

dnner

Deep Neural Networks Entropy from Replicas

DukeLecture2018

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

GeoPandas_Brasil

Using Geopandas to Plot Brazil Maps

mlcourse_2019

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

parametric-discovery

SDESolverTest

A suite of methods for solving stochastic differential equations