Tools for managing the Conference Management Toolkit from Microsoft.

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

PyMC educational resources

Statistical Rethinking course and book package

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

Awesome list for Neural Network Optimization methods.

A Course in Machine Learning

An unofficial styleguide and best practices summary for PyTorch

PRML algorithms implemented in Python

NeurIPS workshop on Advances in Approximate Bayesian Inference

Best Practices, code samples, and documentation for Computer Vision.

Folklore facts on probability distribution learning, testing, and whatever-ing

Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.

Fast and Easy Infinite Neural Networks in Python

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

Example communicating with HOList

Bug-tracking for Jeff's algorithms book, notes, etc.

A Literate Program about Data Structures and Object-Oriented Programming

An open-source, customizable intermediate logic textbook

Differentiable bitonic sorting

Real numbers, data science and chaos: How to fit any dataset with a single parameter

A method for training neural networks that are provably robust to adversarial attacks.

Example codes for the book Applied Stochastic Differential Equations

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

Mode Connectivity and Fast Geometric Ensembles in PyTorch

Jupyter environment for experimenting with deephol

Smoothing Structured Decomposable Circuits

This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".