Chaztikov's repositories
unc-dissertation
LaTeX template and class file for a UNC doctoral dissertation.
arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
conference-deadlines
:alarm_clock: AI conference deadline countdowns + Calendar overview with deadlines and conference dates.
DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
DeePyMoD_torch
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
DL-ROM-Meth
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
EQDiscovery
Physics-informed learning of governing equations from scarce data
flowty-realtime-lcm-canvas
A realtime sketch to image demo using LCM and the gradio library.
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
graph-pde
Using graph network to solve PDEs
howtheytest
A collection of public resources about how software companies test their software
iFEM
Interactive FEM Course
investigating_mitigating_failure_modes_in_pinns
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
monai-deploy
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
MONAI_tutorials
MONAI Tutorials
NeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
pinn-pde-compatibility
Code for understanding the compatibility between PINNs and PDEs
PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
PINNs-interface-optimal-control
Thanks Tianyou Zheng
PlotNeuralNet
Latex code for making neural networks diagrams
ppnn
PDE Preserved Neural Network
r3_sampling_icml2023
Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling" (accepted at ICML 2023)
stable-diffusion-webui
Stable Diffusion web UI
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
transformer-physx
Transformers for modeling physical systems