equdist

Awesome Knowledge Distillation

irresponsible innovation. Try now at https://chat.dev/

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

An R package providing functions for interpreting and distilling machine learning models

Easily generate synthetic data for classification tasks using LLMs

Acesse: https://agents4good.github.io/MasterChef-AI/

I spend over ten years writing code and applying math and science. in each keystroke I found joy. I see life is a system that has variable entropy (E). Every process (p[i]) generates dE and my job is to understand what dE(p[i]) means.