Aditya Raghuvanshi (tanalpha-aditya)

tanalpha-aditya

Geek Repo

Company:IIIT Hyderabad

Location:IIIT Hyderabad

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Aditya Raghuvanshi's repositories

Prompt-Engineering-BERT-NLP

Implement prompt tuning on a GPT-2 small model using PyTorch and fine-tune it on three tasks: summarization, question answering, and machine translation.

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Better-Reddit-MERN

This is Reddit clone made by using MERN Stack.

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Advanced_Semantic_similarity

Semantic similarity methodolgies including multilingual appraoches

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Clash_of_Clans-Python-implementation

In this repository the famous Clash of Clans game has been implemented in python framework.

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NLP-Sarcasm-Irony-Detection

Advanced NLP project where we needed to build a Sarcasm/Irony classifier. It has many methods like BiLSTM, Transformers to BERT/ T5 / MPNET finetuning

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POS_Tagger

A POS_Tagger made from scratch in Pytorch

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Regex-Tokenizer

A self made Regex Tokeniser to clean the corpus.

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Concurrency-multithreading

It has 2 questions solved upon the concepts of concurrency and has been solved using semaphores and multithreading.

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MERN_Stack-Project

Admin Panel and WebApp made from MERN Stack

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demo-repo

demo for github intro

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ELMO-NLP

This repo provides a comprehensive overview of ELMo (Embeddings from Language Models), a deep contextualized word representation model,

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Future-word-prediction-NLP

Implemented BiDirectional Long Short- Term Memory (BiLSTM) to build a Future Word Prediction model. The project involved training these models using large datasets of textual data and tuning hyperparameters to optimize the accuracy of the model.

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iiitprevpapers

IIIT Hyderabad Previous Paper Repo

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Machine-Translation-NLP

This repo is an implementation of transformer based machine translation system.

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Structure-Dependence-of-Hindi

This Term Paper explains the "Structure Dependence" of Indian Languages, especially Hindi with reference to different aspects of language -- (sound, word, sentence) with suitable examples

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Word-Clouds

Corpus collection by webcrawling -> 10,000 sentences of english and Hindi ( Indian Language ) -> Tokenization, POS Tagging, Removal of Stopwords, Stemming and Lemmatization done with analysis

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