GitHub

Practice coding algorithms 100% offline with AI: generate problems, get hints, discuss solutions, and run code in JavaScript, TypeScript, or Python — no internet or setup ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.
IEEE

MORE-Stress: Model Order Reduction based Efficient Numerical Algorithm for Thermal Stress Simulation of TSV Arrays in 2.5D/3D IC

Abstract: Thermomechanical stress induced by through-silicon vias (TSVs) plays an important role in the performance and reliability analysis of 2.5D/3D ICs. While the finite element method (FEM) ...
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Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Trump reaction to watching video of ICE ...
IEEE

Numerical Analysis of Fluid Flow in Microchannels Using SOR-Iteration-Accelerated PISO Algorithm

Abstract: This work investigates a modified pressure implicit with splitting of operators (PISO) solver that employs the successive over-relaxation (SOR) iterative method for solving the discretized ...
GitHub

OpenASCE: A Python Package for End-to-End Large Scale Causal Learning

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...