No-code GUI for Physics-Informed Neural Networks (PINNs)
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Updated
Sep 22, 2026 - Python
No-code GUI for Physics-Informed Neural Networks (PINNs)
Some summaries for lectures of the RW/CSE curriculum
Experimental framework for artificial scientific reasoning, verification, hypothesis generation, and reproducible research.
Define and Run Computational Experiments on Cybershuttle
A Dynamic System Framework Engine for modelling many different physical and mathematical systems. DSFE's code is prodominantly programmed in C++/C, with the GUI using Vulkan SDK and GLSL for the graphics pipeline. Currently supports Linux (x86/64) and Windows (x86/64)
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Interactive Streamlit application for exploring, comparing, and analyzing stochastic 3D root architecture simulations.
Iniciação Científica envolvendo pequenos modelos de Inteligência Artificial para Chatbots educacionais, em específico para o Debugando ED
Open-source, local-first desktop software for building, analysing and reproducing mathematical experiments. Model Laboratory combines typed model, run and artifact protocols, canonical experiment bundles, provenance tracking, extensible scientific packs and a review-gated AI interpreter, with computation kept on the user’s machine.
A theory of identifiability, minimal causal interfaces, and measurement limits for adaptive systems.
Curated collection of resources for computational materials science
Reproducible scientific-computing framework for stochastic 3D root architecture simulation, quantitative analysis, and scalable Monte Carlo experiments.
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