Analyze the dynamic stability of SGD

Code for reproducing the paper "Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning"

Code used for "Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs"

Implementation of numerical simulation and analytical computations for the training, via online SGD, of two layer neural networks and random features on a mixture of Gaussian.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Tree Approximate Message Passing

Repo for G3M project

Repository for the Data Science Bits YouTube channel

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Tools to train neural networks on structured data sets

TRee Approximate Message Passing algorithm - Examples

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

Code used for experiments in https://arxiv.org/abs/2008.08601

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Projections of COVID-19, in standardized format

A package for the sparse identification of nonlinear dynamical systems from data

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Course notes

PyRoss: inference, forecasts, and optimised control of epidemiological models in Python. github.com/rajeshrinet/pyross

Epidemic Modeling for Everyone

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE