Dcankaran

Dcankaran's Stars

• mtdvio/every-programmer-should-know

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

  84.1k2k537.8k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.6k554994.8k

• thuml/Transfer-Learning-Library

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

  Language:Python3.5k49202559

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.8k56787760

• JavierAntoran/Bayesian-Neural-Networks

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

  Language:Jupyter Notebook1.9k2824304

• HIPS/Spearmint

  Spearmint Bayesian optimization codebase

  Language:Python1.5k7995329

• automl/SMAC3

  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  Language:Python1.1k42557226

• chengtan9907/OpenSTL

  OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

  Language:Python7909149129

• PML-UCF/pinn

  Physics-informed neural networks package

  Language:Python27517448

• nanditadoloi/PINN

  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

  Language:Jupyter Notebook2604447

• yunshengtian/DGEMO

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

  Language:Python1005826

• madagra/basic-pinn

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

  Language:Python734430

• doyle-lab-ucla/edboplus

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

  Language:Python611818

• cog-imperial/entmoot

  Multiobjective black-box optimization using gradient-boosted trees

  Language:Python5662312

• DENG-MIT/Stiff-PINN

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

  Language:Python496122

• DENG-MIT/reactorch

  A Differentiable Reacting Flow Simulation Package in PyTorch

  Language:Python4472030

• BioSTEAMDevelopmentGroup/Bioindustrial-Park

  BioSTEAM's Premier Repository for Biorefinery Models and Results

  Language:Jupyter Notebook38515717

• alirezayazdani1/SBINNs

  Language:Python366525

• aspuru-guzik-group/golem

  Golem: an algorithm for robust experiment and process optimization

  Language:Jupyter Notebook16530

• ZimmermanGroup/ActiveTransfer

  Language:Jupyter Notebook13411

• thomaspinder/SteinGP

  Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.

  Language:Python9101

• alirezayazdani1/PINNs-Tutorial

  Language:Jupyter Notebook8304

• ImperialCollegeLondon/webBO

  Language:HTML6005

• killingbear999/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).

  Language:Jupyter Notebook6100

• mjzhu-p/PWAS

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

  Language:Python61

• fmnyikosa/abo_py

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

  Language:Python4202

• madagra/sequences-time-series-course

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

  Language:Jupyter Notebook4100

• MolChemML/ExpDesign

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

  Language:Jupyter Notebook40

• Scienfitz/attentivefp_reac

  Reaction extension for the AttentiveFP GNN

  Language:Python3100

• trsav/collabo

  A package for human-algorithm collaborative Bayesian optimization.

  Language:Python3160