Dcankaran

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

deepxde

A library for scientific machine learning and physics-informed learning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Spearmint

Spearmint Bayesian optimization codebase

SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

pinn

Physics-informed neural networks package

PINN

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

DGEMO

[NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

basic-pinn

Basic implementation of physics-informed neural networks for solving differential equations

edboplus

EDBO+. Bayesian reaction optimization as a tool for chemical synthesis.

entmoot

Multiobjective black-box optimization using gradient-boosted trees

Stiff-PINN

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

reactorch

A Differentiable Reacting Flow Simulation Package in PyTorch

Bioindustrial-Park

BioSTEAM's Premier Repository for Biorefinery Models and Results

SBINNs

golem

Golem: an algorithm for robust experiment and process optimization

ActiveTransfer

PINNs-Tutorial

webBO

chemical-reactor-foundation-model

This work develops a foundation model for generic chemical reactor modeling (meta-learning using Reptile), enabling few-shot adaptation to unseen reactions (physics-informed adaptation).

PWAS

Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates (PWAS/PWASp)

PyKRLST

Kernel Recursive Least Squares Tracker in Python

abo_py

Adaptive Learning Rate Tuning in PyTorch using Adaptive Bayesian Optimization (ABO)

sequences-time-series-course

Rewrite of Coursera Sequences, Time Series and Prediction course in PyTorch

ExpDesign

Supplementary material for "Discrete and mixed-variable experimental design with surrogate-based approach"

attentivefp_reac

Reaction extension for the AttentiveFP GNN

collabo

A package for human-algorithm collaborative Bayesian optimization.