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2021surf

This is the SURF program, using PINN to deal with the pressure field of subsurface flow, which is governed by Darcy equation. The DNN framework is based on Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations by Maziar Raissi, Paris Perdikaris, and George Em Karniadakis.

2023-big-data-driven-artificial-intelligence

3dfno_gcs

This repo contains the code of using FNO for fast modeling of large-scale geological carbon storage

aata

Public repository for Abstact Algebra Theory and Applications

academic-kickstart

Personal website made user Academic & Hugo, hosted on Netlify

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

adversarial_reisz

Adversarial estimation of Reisz representers

ai-aristotle

ai-aristotle-pinns

PINNs code for AI_Aristootle paper

ai-lorenz

aipoincare

Counting the number of conservation laws from trajectory data

aljabr-1

Methods in Algebra (Volume 1): A Chinese textbook on Algebra

amcos_booklet

LaTeX template for scientific conference booklet, or book of abstracts

animated-lectures

A series of animated lectures on ML applications as a part of the course on the experimental methods in Scattering Physics

ann-fundamentals

This is the repository for D-Lab’s Artificial Neural Network (ANN) Fundamentals in Python workshop. These materials were authored and contributed by [Qingkai Kong](http://seismo.berkeley.edu/qingkaikong/).

ann2snn_gn

Here is the official code for ICASSP 2024 "Optimal ANN-SNN Conversion with Group Neurons".

arc

Numerical experiments for Riemannian ARC project

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-federated-learning-on-graph-and-gnn-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

awesome-se-notes

Notes for courses of @SJTU-SE

axler-linear-algebra-solutions

Solutions to Linear Algebra Done Right by Sheldon Axler, 3rd Edition

babyagi

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

basicreservoircomputing

Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents

bayesball.github.io

bayescomputer

Markdown documents illustrating Bayesian computations with R

bayesian-data-analysis-course

My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.

bayesian-pinn-pytorch

bayesian-statistics-econometrics

Bayesian Statistics-Econometrics