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    • CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
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    • Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks
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    • On network backbone extraction for modeling online collective behavior
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    • Gray-Box Models for Performance Assessment of Spark Applications
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    • Modeling Dynamic Ideological Behavior in Political Networks
    • SEMPLICe: Um Modelo Sequencial de Proficiência em Comunidades Online para Aprendizado de Idioma
    • Towards Understanding Political Interactions on Instagram
    • Análise de Algoritmos de Clusterização para Experimentos Randomizados em Redes Sociais de Larga Escala
    • Análise das Interações Sociais em Comunidades Online de Aprendizado de Idiomas: um estudo de caso no Reddit
    • Análise de Comunidades de Suporte a Transtornos de Saúde Mental do Reddit
    • Automatic Identification of Best Attributes for Indexing in Data Deduplication
    • Estimation Errors in Network A/B Testing Due to Sample Variance and Model Misspecification
    • Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System
    • Modelos de Resposta para Experimentos Randomizados em Redes Sociais de Larga Escala
    • Online Social Networks in Health Care: A Study of Mental Disorders on Reddit
    • Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions?
    • Selective harvesting over networks
    • An example journal article
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    • Characterizing Branching Processes from Sampled Data
    • On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling
    • Sampling directed graphs with random walks
    • Heterogeneous download times in a homogeneous BitTorrent swarm
    • Assortative Mixing in BitTorrent-Like Networks
    • Formação de clusters em redes P2P por similaridade entre os nós
    • Novas evoluções integradas à ferramenta Tangram-II v3.1
    • Avaliação de um mecanismo de previsão adaptativa de perdas de pacotes com aplicação à transmissão de Voz sobre IP
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    • CS 4099: ST: Graph Machine Learning
    • CS 4432: Database Systems II
    • CS/DS 541: Deep Learning
    • DS 3010: Data Science III: Computational Methods

PyTorch

Oct 26, 2023 · 1 min read
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PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.

Last updated on May 19, 2024
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Fabricio Murai
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Fabricio Murai
Assistant Professor of CS, Data Science & AI
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