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This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and embedding for better result and accuracy. Overall, this model converts the English to French language using various Techniques of NLP and DL.
Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
Repository containing the codes used for the development of a heart sound prediction system using convolutional neural networks (CNN) for semantic segmentation.
The Positional Encoder Decoder is a Visual Basic .NET class that provides functionality for encoding and decoding tokens and sentences using positional embeddings. It allows you to convert between string tokens and their corresponding embeddings, and vice versa.
This GitHub repository houses an innovative implementation of Neural Machine Translation (NMT) using state-of-the-art sequence-to-sequence networks. The primary focus is on enhancing translation quality through progressively advanced architectural improvements.