🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

A PyTorch implementation of L-BFGS.

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。

Visualization of mean field and neural tangent kernel regime

Mathematical Introduction to Electronic Structure Theory

This repository contains implementations and illustrative code to accompany DeepMind publications

Examples of how to create colorful, annotated equations in Latex using Tikz.

Test code for pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

A python wrapper for the Illinois inoisy code implementing a stochastic anisotropic diffusion model to generate space-time Gaussian random fields.

Open source code for AlphaFold 2.

Example applications of path signatures

PyTorch deep learning projects made easy.

Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

[ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.

TCS Studygroup

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

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

C++ implementation of YOPO-adversarial training using pytorch

Unsupervised Data Augmentation (UDA)

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

An Investigation of Why Overparameterization Exacerbates Spurious Correlations