akhileshravi Goto Github PK

100-days-of-code

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

akhileshravi.github.io

connectedcomponentimage

decisiontree_randomforest

deep-learning-v2-pytorch

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

flyabovewater

geryscale_to_binary_image_conversion

This repository has codes for converting greyscale images to binary images using various methods in such a way that, to the human eye, they still look a lot like images having various intensity levels.

gravity-guy

image_filter

kalmanfilterdemo

kalmanfiltersine

knearestneighbours

This repository has a code (function) for K-Nearest Neighbours models. The model is tested on a dataset and compared with the slkearn KNN models. There is runtime analysis and accuracy analysis of the sklearn KNN models for classification and regression.

lasso_ridge_regression_and_coordinatedescent

This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.

linearregression

morpologicalimageprocessingfunctions

This has the Matlab codes for a basic list of morphological functions

multilayerperceptron

This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).

naivebayesmodel

This repository has code (function) for Naive Bayes Classifier model which is based on probability. The model is evaluated on a dataset. It has then been used for active learning. Finally, there is a comparison between active learning and adding new samples to the train set from the pool set randomly.

nlp_assignments

opencv-workshop

The aim of this repository is to assist in a introductory workshop for OpenCV in Python

sentemojidataset

shellcodedebugtrackingsoftware

superbot

supportvectormachine

This repository has a code for hard SVM. The code is run for the Iris dataset classification. The support vectors are obtained and the decision boundary is drawn. Ultimately, there is a lso a comparison with the sklearn svm framework.

typemaster

warehouse-inventory-check

Autonomous Drone to move in a warehouse and make a stock of the inventory be reading the bar codes and QR codes