hari2594 Goto Github PK

adas---lane-detection

The problem I have solved in this code is to take a simple video as input data and process it to detect the lane within which the vehicle is moving. Then we will find a representative line for both the left and right lane lines and render those representations back out to the video as a blue overlay.

adversarial-machine-learning

Adversarial machine learning is a technique employed in the field of machine learning which attempts to fool models through malicious input. This technique can be applied for a variety of reasons, the most common being to attack or cause a malfunction in standard machine learning models.

automated_eda

Developed the package to identify categorical and numerical variables of dataset, and plot respective visualization graphs for the variables, identifies missing values and outliers in the variables, provide suggestions for outlier treatment and missing value imputation method to the user and take the final input from user to handle them.

deeplearning-models

A collection of various deep learning architectures, models, and tips

dl-ml-with-pytorch

ml-flow

MLFlow is the generalized package which is developed using the python and the H2o framework. The purpose of this function is to store the models meta data for both classification and regression model.

model-evaluation-comparison

This Package is developed to evaluate the classification | Regression models based on different metrics.

pca---image-compression

The goal of this R Function is to compress arbitrary images using numerical principal component analysis techniques to obtain the most visually appealing compressed image.

vision---eva