PinnedPublished inTowards Data SciencePhysics-Informed Neural Networks: An Application-Centric GuideA comprehensive overview of PINN’s real-world success storiesFeb 97Feb 97
PinnedPublished inTowards Data ScienceUnraveling the Design Pattern of Physics-Informed Neural Networks: Series 01Optimizing the residual point distribution to boost PINN training efficiency and accuracyMay 15, 20233May 15, 20233
PinnedPublished inTowards Data ScienceOperator Learning via Physics-Informed DeepONet: Let’s Implement It From ScratchA deep dive into the DeepONets, physics-informed neural networks, and physics-informed DeepONetsJul 7, 20234Jul 7, 20234
PinnedPublished inTowards Data ScienceUncertainty Quantification ExplainedA practice for making reliable model-based predictionsJul 20, 20202Jul 20, 20202
Published inTowards Data ScienceModeling Dynamical Systems With Neural ODE: A Hands-on GuideConcepts, case studies, step-by-step implementationsJan 121Jan 121
Published inTowards Data ScienceBuilding An Expert GPT in Physics-Informed Neural Networks, with GPTsA customized copilot for streamlining PINN research and developmentNov 18, 20234Nov 18, 20234
Published inTowards Data ScienceWhen AutoML Meets Large Language ModelLeveraging the power of LLMs to guide hyperparameter searchesOct 5, 20234Oct 5, 20234
Published inTowards Data ScienceTraining Soft Skills in Data Science with Real-Life Simulations: A Role-Playing Dual-Chatbot…A complete LLM project walk-through with code implementationSep 4, 20233Sep 4, 20233
Published inTowards Data ScienceDeveloping an Autonomous Dual-Chatbot System for Research Paper DigestingA project walk-through for the concept, implementation, and demonstrationAug 14, 20237Aug 14, 20237
Published inTowards Data ScienceDiscovering Differential Equations with Physics-Informed Neural Networks and Symbolic RegressionA case study with step-by-step code implementationJul 28, 20237Jul 28, 20237
