ADCME
Overview
Tutorial
Overview
Video Lectures and Slides
What is ADCME? Computational Graph, Automatic Differentiation & TensorFlow
ADCME Basics: Tensor, Type, Operator, Session & Kernel
PDE Constrained Optimization
Sparse Linear Algebra
Numerical Scheme in ADCME: Finite Difference Example
Numerical Scheme in ADCME: Finite Element Example
Inverse Modeling with ADCME
Inverse Modeling Recipe
Combining Neural Networks with Numerical Schemes
Advanced: Automatic Differentiation for Implicit Operators
Advanced: Custom Operators
Advanced: Debugging and Profiling
Exercise: Inverse Modeling with ADCME
Resources
Newton Raphson
Parallel Computing
Optimizers
Study on Optimizers
PDE/ODE Solvers
Shared Memory Across Kernels
Julia Custom Operators
Neural Networks
Optimal Transport
Resource Manager
Generalized α Scheme
Direct Methods for Sparse Matrices
Custom Optimizer
Global Options
Uncertainty Quantification of Neural Networks in Physics Informed Learning using MCMC
Distributed Scientific Machine Learning using MPI
MPI Benchmarks
Understand the Multi-threading Model
Radial Basis Functions
Topological Optimization
Numerical Integration
Introducing ADCME Database and SQL Integration: an Efficient Approach to Simulation Data Management
The Mathematical Structure of DNN Hessians
Visualization with Plotly
Physics Informed Machine Learning
Finite-difference Time-domain for Electromagnetics and Seismic Inversion
Deep Learning Schemes
Variational Autoencoder
Normalizing Flows
Convolutional Neural Network
Bayesian Neural Networks
Reinforcement Learning Basics: Q-learning and SARSA
Developer Guide
Design Pattern
Built-in Toolchain for Third-party Libraries
Configure MPI for Distributed Computing
Install ADCME on Windows
Install ADCME Docker Image
Applications
Overview
Adversarial Numerical Analysis
Calibrating Multivariate Lévy Processes with Neural Networks
Learning Constitutive Relations from Indirect Observations Using Deep Neural Networks
Intelligent Automatic Differentiation
General Seismic Inversion using Automatic Differentiation
Symmetric Positive Definite Neural Networks (SPD-NN)
API Reference
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