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input-embeddings

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Joe-Naz01 / transformers

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A deep learning project that implements and explains the fundamental building blocks of the Transformer model using PyTorch. The notebook covers the implementation of Input Embeddings, Positional Encoding, and a custom Multi-Head Attention mechanism, providing a step-by-step guide to how these components transform data.

data-science machine-learning transformers artificial-intelligence attention self-attention multi-head-attention positional-encoding input-embeddings
  • Updated Mar 4, 2026
  • Jupyter Notebook

SpydazWebAI-NLP / BasicWordEmbeddings2023

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A Basic Word2Vector WordEmbeddings Model. With image2Vector and Audio2Vector Encoding and decoding. (Audio is not great but works NEeds improvement - but can be reconstructred)

vectorization word2vec-model skipgram glove-vectors glove-embeddings image-vectorization fasttext-embeddings word2vec-embeddinngs image2vec nlp-embeddings input-embeddings cbow-embeddings audio2vec audio-vectorization
  • Updated Sep 5, 2023
  • Visual Basic .NET

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