Shreyash-Gaur
Eager AI/ML Student || Embracing the World of Neural Networks | NLP | Computer Vision || Diving into Data Science & Tableau
India
Pinned Repositories
Auto-Correct
Implementing Auto-Correct or Spell-Checker System using Natural Language Processing (NLP)
AutoComplete_System
Auto-Complete system using N-gram language model
Naive_Machine_Translation_LSH
Simple Machine Translation System and Showing How Locality Sensitive Hashing Works
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.
Neural_Style_Transfer
Deep Learning & Art: Learning and Implementing about Neural Style Transfer, an algorithm created by Gatys et al. (2015).
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.
Question_Duplicate_Detection
Using Siamese networks in NLP to identify duplicate questions
RNN_Text-Generation
Text Generation using Recurrent Neural Networks (RNNs) with a focus on Gated Recurrent Units Language Model (GRULM)
Sentiment_Analysis
This project aimed to classify tweets as positive, negative, or neutral using LSTM, CNN, and Multinomial Naive Bayes algorithms.
Sentiment_Analysis_With_Logistic_Regression
Sentiment Analysis on Tweets using Logistic Regression
Shreyash-Gaur's Repositories
Shreyash-Gaur/Auto-Correct
Implementing Auto-Correct or Spell-Checker System using Natural Language Processing (NLP)
Shreyash-Gaur/AutoComplete_System
Auto-Complete system using N-gram language model
Shreyash-Gaur/Naive_Machine_Translation_LSH
Simple Machine Translation System and Showing How Locality Sensitive Hashing Works
Shreyash-Gaur/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.
Shreyash-Gaur/Neural_Style_Transfer
Deep Learning & Art: Learning and Implementing about Neural Style Transfer, an algorithm created by Gatys et al. (2015).
Shreyash-Gaur/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.
Shreyash-Gaur/Question_Duplicate_Detection
Using Siamese networks in NLP to identify duplicate questions
Shreyash-Gaur/RNN_Text-Generation
Text Generation using Recurrent Neural Networks (RNNs) with a focus on Gated Recurrent Units Language Model (GRULM)
Shreyash-Gaur/Sentiment_Analysis
This project aimed to classify tweets as positive, negative, or neutral using LSTM, CNN, and Multinomial Naive Bayes algorithms.
Shreyash-Gaur/Sentiment_Analysis_With_Logistic_Regression
Sentiment Analysis on Tweets using Logistic Regression
Shreyash-Gaur/Sentiment_Analysis_With_Naive_Bayes
Sentiment Analysis on Tweets using Naive Bayes
Shreyash-Gaur/Shreyash-Gaur
Config files for my GitHub profile.
Shreyash-Gaur/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.
Shreyash-Gaur/Word_Embeddings
A mathematical way of representing words using numeric vectors.
Shreyash-Gaur/Word_Vectors
Exploring the Word Vectors