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Hey there!✌️

An Aspiring AI Engineer here!

aparna024

  • 🌱 Currently learning AI, ML

Connect with me:

aparna-s-b18123245 _.the_exception._

Languages and Tools:

arduino bash c cplusplus git java linux matlab mysql pandas python xd

aparna024

 aparna024

aparna024

Aparna S's Projects

180-questions-striver-sde-sheet-in-cpp icon 180-questions-striver-sde-sheet-in-cpp

If you are a newbie in coding and wanna do CP then first solve this DSA question then move to cp..it will surely gonna help u clear the concepts. and get better at cp.

audio_noise_clustering icon audio_noise_clustering

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

brats2019 icon brats2019

[BrainLes2019] Multi-step cascaded network for brain tumor segmentations (tensorflow)

dagan icon dagan

DAGAN: Data Augmentation Generative Adversarial Networks

dagan_torch icon dagan_torch

PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)

densedepth icon densedepth

High Quality Monocular Depth Estimation via Transfer Learning

gengraph icon gengraph

A repository for the GenGraph toolkit for the creation and manipulation of graph genomes

ml_with_rune icon ml_with_rune

ML tutorial given by Rune on his Youtube channel : https://www.youtube.com/c/LearnPythonwithRune/featured

neurodiffeq icon neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

py icon py

Repository to store sample python programs for python learning

react icon react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

sql-books icon sql-books

"Database means a tables collected different information, so one site is a result of a collected tables????" ― Deyth Banger

tf-monodepth2 icon tf-monodepth2

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

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