nmerovingian Goto Github PK

acetic-acid-dissociation-ai

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ce_dissociative-ce_ec_ec2_reaction_simulation

C++ code for Sub- and Super-Nernstian Tafel Slopes Can Result from Reversible Electron Transfer Coupled to Either Preceding or Following Chemical Reaction

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

dimension-conversion-tool

A conversion tool with with graphical user interface for conversion between dimensional and dimensionless voltammogram

dissociativece-simulation-machinelearning

Simulation and machine learning of dissociative CE reaction

dmol-book

Deep learning for molecules and materials book

douban-movie-scraper-with-login

A simple but robust Douban scraper with login. Can scrape movie short comments and reviews. Good for machine learning and data science purposes!

easy-widgets-for-voltammetry

A collection of tools for voltammogram analysis to relieve your data analysis burden

ecinn

The repository for Discovering Electrochemistry with an Electrochemistry-Informed Neural Network (ECINN)

freesim

An Open-Source Electrochemical Reaction Simulator

matrix

neural-pde-solver

pinn-cv

Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law

pinn-hydrodynamic-voltammetry

Solving convective-diffusion mass transport problem for channel electrode

pinn-voltammetry-best-practices

pinn4rde

Using Physics-Informed Neural Network to solve convective-diffusion problem (both 1-D and 2-D) for rotating disk electrode(RDE). The edge effect of RDE is thus quantified.

pinnacle

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

stiff-pinn

Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics

tsp_collection

TSP算法全复现：遗传(GA)、粒子群(PSO)、模拟退火(SA)、禁忌搜索(ST)、蚁群算法(ACO)、自自组织神经网络(SOM)