Shreyash Gaur (Shreyash-Gaur)

Shreyash-Gaur

Geek Repo

Location:India

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Shreyash Gaur's repositories

Sentiment_Analysis

This project aimed to classify tweets as positive, negative, or neutral using LSTM, CNN, and Multinomial Naive Bayes algorithms.

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Question_Duplicate_Detection

Using Siamese networks in NLP to identify duplicate questions

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Named_Entity_Recognition

It is a subtask of information extraction that locates and classifies named entities in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

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Word_Vectors

Exploring the Word Vectors

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RNN_Text-Generation

Text Generation using Recurrent Neural Networks (RNNs) with a focus on Gated Recurrent Units Language Model (GRULM)

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Word_Embeddings

A mathematical way of representing words using numeric vectors.

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U-Net_Image_Segmentation

"Image Segmentation with U-Net" employs a Encoder-Decoder deep learning model to accurately segment images. This project showcases the implementation of the U-Net architecture, training process, and evaluation metrics. Ideal for applications in medical imaging, autonomous driving, and more.

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Neural_Style_Transfer

Deep Learning & Art: Learning and Implementing about Neural Style Transfer, an algorithm created by Gatys et al. (2015).

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Parts_Of_Speech_Tagging

POS(Parts-Of-Speech) Tagging, is the process of assigning a part-of-speech tag (Noun, Verb, Adjective...) to each word in an input text.

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AutoComplete_System

Auto-Complete system using N-gram language model

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Auto-Correct

Implementing Auto-Correct or Spell-Checker System using Natural Language Processing (NLP)

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Naive_Machine_Translation_LSH

Simple Machine Translation System and Showing How Locality Sensitive Hashing Works

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Sentiment_Analysis_With_Naive_Bayes

Sentiment Analysis on Tweets using Naive Bayes

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Sentiment_Analysis_With_Logistic_Regression

Sentiment Analysis on Tweets using Logistic Regression

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Shreyash-Gaur

Config files for my GitHub profile.

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