Batuhan Koyuncu
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    • PyTorch
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    • Temporal Variational Implicit Neural Representations
    • Hyper-Transforming Latent Diffusion Models
    • E-ProTran: Efficient Probabilistic Transformers for Forecasting
    • From Laboratory to Everyday Life: Personalized Stress Prediction via Smartwatches
    • Variational Mixture of HyperGenerators for Learning Distributions Over Functions
    • Label-Free Identification of Exosomes using Raman Spectroscopy and Machine Learning
    • Chemotherapy Response Prediction with Diffuser Elapser Network
    • Analysis of ODE2VAE with Examples
    • Analysis and Regularization of Deep Generative Second Order Ordinary Differential Equations
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    • E-ProTran: Efficient Probabilistic Transformers for Forecasting
    • From Laboratory to Everyday Life: Personalized Stress Prediction via Smartwatches
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    • Analysis and Regularization of Deep Generative Second Order Ordinary Differential Equations
    • Chemotherapy Response Prediction with Diffuser Elapser Network
    • Label-Free Identification of Exosomes using Raman Spectroscopy and Machine Learning
    • Variational Mixture of HyperGenerators for Learning Distributions Over Functions
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PyTorch

Oct 26, 2023 ยท 1 min read
Go to Project Site

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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Batuhan Koyuncu
Authors
Batuhan Koyuncu
ELLIS PhD Student

โ† Pandas Oct 26, 2023
scikit-learn Oct 26, 2023 โ†’

ยฉ 2025 Me. This work is licensed under CC BY NC ND 4.0

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