CBERTdp is a strategy to speed up the clssification task by clustering BERT embeddings using different methods in order to use K-Means and the Dot-Product to obtaint the prediction results
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Updated
Feb 26, 2024 - Python
CBERTdp is a strategy to speed up the clssification task by clustering BERT embeddings using different methods in order to use K-Means and the Dot-Product to obtaint the prediction results
Simple "search engine" implementing dot product in information retrieval system using cosine similiarity
Assignments for Algorithms Course (Data Analytics)
PyTorch implementation for an MPI-based dot-product attention distributed implementation
This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.
Linear Algebra using Python
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