GitHub

Project Euler LLM Benchmark

This shows that even very small models like the llama3.2 model has a two-fold super-human performance at solving those problems. Solving specific tasks by coding programs requires a high degree of ...
IEEE

Improving Accuracy of LLM-based Code Clone Detection U sing Functionally Equivalent Methods

Abstract: Avstract-A code clone is a code snippet identical or similar to another in the source code. The presence of code clones causes the spread of bugs, which means that efficient code clone ...
GitHub

Solving Ordinary Differential Equations Numerical Method Implementation in Python

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...
Europe PMC

Python code smells detection using conventional machine learning models

Code smells are poor code design or implementation that affect the code maintenance process and reduce the software quality. Therefore, code smell detection is important in software building. Recent ...
Frontiers

Simulating the Euler equations on multiple GPUs using Python

GPUs have become a household name in High Performance Computing (HPC) systems over the last 15 years. However, programming GPUs is still largely a manual and arduous task, which requires expert ...
eLife

A flexible framework for simulating and fitting generalized drift-diffusion models

The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...