Example Jupyter notebook illustrating how mdciao can be used in API mode. by Guillermo Pérez-Hernández (21156182)

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Table 1 - mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data by Guillermo Pérez-Hernández (21156182)

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Longer-range peaks of S2 Fig (using arrows and the *, ⁑, †, ‡, and ⸸ symbols) not corresponding to short-range contacts, but rather secondary structure elements like beta-sheets or... by Guillermo Pérez-Hernández (21156182)

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Example Jupyter notebook illustrating how mdciao is used in API mode. by Guillermo Pérez-Hernández (21156182)

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Overview of one by Guillermo Pérez-Hernández (21156182)

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PyGMT – Accessing and Integrating GMT with Python and the Scientific Python Ecosystem (AGU24, U12B-05) by Yvonne Fröhlich (20442683)

“…</p><p dir="ltr">PyGMT (<a href="https://www.pygmt.org/" target="_blank">https://www.pygmt.org/</a>) wraps around the very fast GMT C code to make it accessible through the Python programming language. …”

Datasets To EVAL. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

Statistical significance test results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

How RAG work. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

OpenBookQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

AI2_ARC experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

TQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

E-EVAL experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

TQA Accuracy Comparison Chart on different LLM. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

ScienceQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

HaPy-Bug – Human Annotated Python Bug Resolution Dataset by Piotr Przymus (14564009)

“…<p dir="ltr">We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. …”

A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study. by Aisha Mahmoud (20623732)

A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study. by Aisha Mahmoud (20623732)

ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants by Diullio P. Santos (22770713)

“…All data sets, models and source code are freely available to support reproducibility and foster community-driven development.…”

Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

“…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …”