Pinned Repositories
CorrelatedSpherePacking
Sphere Packing with (optional) Prescribed Spatial Correlation according to Yang Miller Algorithm
DeepStrain
A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
dns-pipe
Direct Numerical Simulation (DNS) of an incompressible turbulent pipe flow (CPL)
FEM-vs-PINNs
FinRL
FinRL: Financial Reinforcement Learning. 🔥
flow_past_cylinder_by_DRL
code for active flow control of flow around cynder using Deep Reinforcement Learning
Fluid-flow-past-a-cylinder-using-Deep-learning
Fluid flow past a cylinder using DiffusionNet
gROM
resolventchannel
Resolvent analysis of turbulent channel flow
unc-dissertation
LaTeX template and class file for a UNC doctoral dissertation.
Chaztikov's Repositories
Chaztikov/FinRL
FinRL: Financial Reinforcement Learning. 🔥
Chaztikov/gROM
Chaztikov/unc-dissertation
LaTeX template and class file for a UNC doctoral dissertation.
Chaztikov/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.
Chaztikov/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~
Chaztikov/clt_unc_dissertation
Chaztikov/conference-deadlines
:alarm_clock: AI conference deadline countdowns + Calendar overview with deadlines and conference dates.
Chaztikov/DAS
DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
Chaztikov/DeePyMoD_torch
Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
Chaztikov/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.
Chaztikov/EQDiscovery
Physics-informed learning of governing equations from scarce data
Chaztikov/flowty-realtime-lcm-canvas
A realtime sketch to image demo using LCM and the gradio library.
Chaztikov/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Chaztikov/graph-pde
Using graph network to solve PDEs
Chaztikov/howtheytest
A collection of public resources about how software companies test their software
Chaztikov/iFEM
Interactive FEM Course
Chaztikov/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)"
Chaztikov/monai-deploy
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Chaztikov/MONAI_tutorials
MONAI Tutorials
Chaztikov/NeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Chaztikov/pigans-material-ID
Chaztikov/pinn-pde-compatibility
Code for understanding the compatibility between PINNs and PDEs
Chaztikov/PINNacle
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
Chaztikov/PINNs-interface-optimal-control
Thanks Tianyou Zheng
Chaztikov/PlotNeuralNet
Latex code for making neural networks diagrams
Chaztikov/ppnn
PDE Preserved Neural Network
Chaztikov/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)
Chaztikov/stable-diffusion-webui
Stable Diffusion web UI
Chaztikov/the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
Chaztikov/transformer-physx
Transformers for modeling physical systems