Pramit Sahoo (pramitsahoo)

pramitsahoo

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Company:Indian Institute of Technology Hyderabad

Location:Kolkata

Home Page:pramitsahoo.github.io

GitHub:@pramitsahoo

Twitter:@Pramit026

Pramit Sahoo's repositories

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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Machine-Learning-and-Artificial-Intelligence

Machine Learning and Artificial Intelligence

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

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Emory-BMI-GSoC

Emory BMI GSoC Project Ideas

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Empathy-Mental-Health

Repository containing codes and dataset access instructions for the EMNLP 2020 paper on empathy in text-based mental health support

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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IndicTrans2

Translation models for 22 scheduled languages of India

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kactl

KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)

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M.Tech_AI_IITH_2023-2025

This Repository Contains all the Lecture Notes, Assignments, Coding Problems and Everything of M.Tech AI at IIT Hyderabad 2023-2025

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machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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MTS-Dialog

A new collection of 1.7k doctor-patient conversations and corresponding clinical notes/summaries.

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parallel-corpora-tools

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

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Plant-Disease-Detection

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.

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ProteinSecondaryStructure-CNN

Protein Secondary Structure predictor using Convolutional Neural Networks

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Resume-Automation-using-ChatGPT

A Desktop Application for resume building which takes data needed for the resume and use ChatGPT API to make the the job description formal. The description input doesn't have to be formal.

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stanford-cs224n-assignments-2021

This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2021).

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