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model-architecture-and-implementation

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SayamAlt / Global-News-Headlines-Text-Summarization

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Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.

natural-language-processing text-generation text-summarization attention-mechanism seq2seq-model luong-attention text-tokenization model-inference model-architecture-and-implementation data-exploration-and-preprocessing
  • Updated May 6, 2024
  • Jupyter Notebook

ZanQraaa21 / object-detection

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This Git repository contains the code and documentation for my progress on developing models for the enhancing road safety project. The goal of the project is to use machine learning algorithms to improve the accuracy of detecting traffic signs and reduce the risk of accidents on the roads.

computer-vision deep-learning object-detection mobility data-collection-and-preprocessing model-architecture-and-implementation technical-documentation-and-instructions
  • Updated Feb 12, 2023

SayamAlt / English-to-Spanish-Language-Translation-using-Seq2Seq-and-Attention

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Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.

natural-language-processing language-translation exploratory-data-analysis text-generation neural-machine-translation attention-model attention-is-all-you-need text-preprocessing luong-attention text-tokenization seq2seq-modeling fine-tuning-bert bert-transformer hugging-face-transformers model-inference model-architecture-and-implementation model-training-and-evaluation
  • Updated May 6, 2024
  • Jupyter Notebook

SayamAlt / Symptoms-Disease-Text-Classification

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Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

natural-language-processing text-classification exploratory-data-analysis multiclass-classification text-preprocessing text-tokenization bert-fine-tuning hugging-face-transformers fine-tune-bert-tensorflow model-inference model-architecture-and-implementation model-training-and-evaluation data-exploration-and-preprocessing
  • Updated May 6, 2024
  • Jupyter Notebook

SayamAlt / Financial-News-Sentiment-Analysis

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Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.

natural-language-processing sentiment-analysis multiclass-classification text-preprocessing text-tokenization distilbert-model hugging-face-transformers fine-tune-bert-tensorflow model-inference model-architecture-and-implementation model-training-and-evaluation data-exploration-and-preprocessing
  • Updated May 6, 2024
  • Jupyter Notebook

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