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
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.
AlphAI is a versatile Python toolkit for GPU profiling and analytics, supporting various tensor models. It enhances GPU server operations and serves as a client for American Data Science's notebook servers.
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