rodsveiga

PINNs

Physics Informed Neural Networks

rbm_flows_ising

Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"

phdiag_sgd

Repository of the "Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural network"

hidden_physical_models

BP_LDPC

Message passing algorithms applied to low density parity check codes

sgf_dyn

Repository of the paper "SGF Flow Dynamics of Test Risk and its Exact Solution for Weak Features"

sparse_id

Sparse identification of nonlinear governing equations

growth_rate

Growth rate and growth acceleration COVID-19

ICU_demand

Code for "Age-structured estimation of COVID-19 ICU demand from low quality data"

mc_perceptron

Code for Learning curves for the multi-class teacher-student perceptron

2021-exp-ICM

AMP_tutorial

AMP tutorial provided by the SPHINX team.

decoders

Python/NumPy implementations of commonly used decoders for LDPC codes.

gaussian-equiv-2layer

Code and resources for "The Gaussian equivalence of generative models for learning with two-layer neural networks" [https://arxiv.org/abs/2006.14709]

GaussMixtureProject

Repository of the "Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions" Neurips submission

hugo-academic-site

ICU2_states

loss-landscape

Code for visualizing the loss landscape of neural nets

maxent

mtheme

A modern LaTeX Beamer theme

nn2pp

Utilities to train two-layer neural networks

notebooks

Jupyter notebooks for my blog

PHYS-642

pyscm

(Online) learning in two-layer neural networks

rodsveiga.github.io

script_ICU_growth

svd_dyn

tramp

Tree Approximate Message Passing

Udacity-ML-Nanodegree

Content for Udacity's Machine Learning Engineer Nanodegree curriculum, which includes projects and their descriptions.

van_error_codes