Bhartendu Kumar (Bhartendu-Kumar)

Bhartendu-Kumar

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Location:India

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Bhartendu Kumar's repositories

Computer-Pointer-Controller

Deep learning based Gaze detection model to control the mouse pointer of your computer

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ACO_Project

Course Project for ACO at IISc

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DIP

DIP projects

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DIP-modules

This contains the modules implemented during DIP course at IISc

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GAN

Course Assignments for ADRL at IISc

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Hackathon-IISc

Organized by Computer Science Department of IISc with Industry Collaboration

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aimeos-typo3

TYPO3 e-commerce extension for professional, ultra fast online shops, complex B2B applications and #gigacommerce

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AlphaGOZero-python-tensorflow

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

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determined

Determined: Deep Learning Training Platform

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foam

foam notes

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GoogleScraper

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, ...). Including asynchronous networking support.

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MMM-MyStudyLife

Module to display info from the website MyStudyLife

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PnP-Conv

SPL Paper Codes

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Principal-Component-Analysis-for-Image-Compression-and-Reconstruction

Employed PCA Algorithm in an application for image recognition and dimention reduction og highly dimentional data that transformed the original data linearly by calculating and choosing eigen vectors with large eigen values and not only removed useless noise but also reduced the amount of computation

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prnn-project

Pattern recognition course projects

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RL_Course_Project

Paper Implementation for RL Course Project

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sense

Enhance your application with the ability to see and interact with humans using any RGB camera.

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SP-in-Practice

Dataset for Course SP in Practice

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Summer_Projects_IISc

This contains self projects done at IISc in Summer of 2022

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Teaching

Teaching Materials for Dr. Waleed A. Yousef

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Test-Time-Adaptataion

We propose a novel method for TEST TIME MODEL ADAPTATION and demonstrated for OPTICAL FLOW

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test_repo

For testinhg purposes

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Video_Prediction

Predicts next frame given 2 past frames

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