Kaushik Manjunatha's Projects
HackerRank/10-days-of-statistics
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.
Anomaly Detection in Time Series Data using Autoencoders approach.
Common code base for ML2R Autumn School 2021
A project done as a requirement for completion of the Natural Language Processing course.
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>
The official git repository for Contiki, the open source OS for the Internet of Things
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.
Data_Driven_Semi_Global_Sequential_Alignment
This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.
A simple Facebook Command-Line-Application using Python.
The fastai deep learning library, plus lessons and tutorials
Materials for the preparatory course for new students of the Master of Autonomous Systems program
A Complete List of GitHub Profile Badges and Achievements
A collection of IPython notebooks covering various topics.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Config files for my GitHub profile.
Personal Website of Kaushik Manjunatha.
Python Notebooks related to Natural Language Processing
A jupyter notebook for the teaching of basic Python and OOP
In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
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.
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.
An Open Source Machine Learning Framework for Everyone