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Hello there, I'm Kaushik šŸ‘‹


Masters student in Germany šŸ‡©šŸ‡Ŗ
Former Software Developer in India šŸ‡®šŸ‡³

- šŸŒ± Iā€™m currently learning: NLP, Deep Learning
- šŸ‘€ Iā€™m interested in Data šŸ’¾, Numbers šŸ”¢ and Coding šŸ’»
- šŸ’žļø Iā€™m looking to collaborate on AI, NLP and Data Science projects
- šŸ“« How to reach me : Send a DM to @kaushik-manjunatha

Connect with me:

kaushik-manjuantha | LinkedInā€‚ kaushik_upadhya | Instagramā€‚ ksk_krish | Twitterā€‚ Kaushik_Manjunatha | Xingā€‚

Languages and Tools:

Visual Studio Codeā€‚ HTML5ā€‚ CSS3ā€‚ JavaScriptā€‚ Node.jsā€‚ SQLā€‚ MySQLā€‚ Gitā€‚ GitHubā€‚ Terminalā€‚ Gatsbyā€‚ Jupyterā€‚ Cā€‚ Cppā€‚ Javaā€‚ Pythonā€‚ Tensorflowā€‚

NOTE: Most used languages does not indicate my skill level or something like that, it's a github metric of which languages i have the most code on github.



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Kaushik Manjunatha's Projects

algorithms-in-python icon algorithms-in-python

In this Introduction to Algorithms in Python course, you'll learn about algorithm basics like recursion and then go all the way to working with concepts like dynamic programming. The 5 main course segments include simple recursive algorithms, data structures, divide & conquer, greedy algorithms, and dynamic programming.

chatbot_cornellcorpus icon chatbot_cornellcorpus

To train a simple chatbot using movie scripts from the Cornell Movie-Dialogs Corpus <https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html>

contiki icon contiki

The official git repository for Contiki, the open source OS for the Internet of Things

crowd_counting_from_scratch icon crowd_counting_from_scratch

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

ddsga icon ddsga

Data_Driven_Semi_Global_Sequential_Alignment

deeplossdive icon deeplossdive

This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.

fast_ai icon fast_ai

The fastai deep learning library, plus lessons and tutorials

foundations_course icon foundations_course

Materials for the preparatory course for new students of the Master of Autonomous Systems program

oop icon oop

A jupyter notebook for the teaching of basic Python and OOP

pima-indians-diabetes-dataset icon pima-indians-diabetes-dataset

In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.

pytorch_v2_deep_learning icon pytorch_v2_deep_learning

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

pytorchmastery icon pytorchmastery

Pytorch Mastery is a comprehensive repository aimed at helping beginners to master Pytorch, a popular machine learning framework, and advance to a mastery level. This repository contains detailed tutorials, code examples, and hands-on projects covering various aspects of Pytorch.

surfacenormalestimation icon surfacenormalestimation

Master's thesis on extending 'Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation'. Includes novel experiments and enhancements of the original CNN method, focusing on improved aleatoric uncertainty capture and prediction accuracy in 3D scene understanding.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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