A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
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Updated
Dec 14, 2020 - Jupyter Notebook
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
A performance benchmark of recent image classification models in deep learning
Benchmarking notebooks for various Persian G2P models, comparing their performance on the SentenceBench dataset, including Homo-GE2PE and Homo-T5.
Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook
Benchmarking for Jespipe to see if performance is better than Jupyter Notebook.
Benchmark of Multiple Imputation using Chained Equations (MICE) algorithms on missing value imputation
A notebook benchmarking a recently developed Dimensionality Reduction technique using Siamese Networks supporting both supervised and unsupervised modes.
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