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Category: Developers Corner

Developers Corner
Vijaysinh Lendave

Complete Tutorial on Linear And Non-Linear Filters using OpenCV

Initially developed by Intel, OpenCV is an open-source computer vision cross-platform library for real-time image processing and which has become a standard tool for all things related to computer vision applications. In 2000, the first version of OpenCV was released; since then, its functionality has been very much enriched and simplified by the scientific community. Later in 2012, a nonprofit foundation OpenCV.org took the initiative for maintaining a support site for developers and users.  

Developers Corner
Victor Dey

Visualizing and Comparing ML Models Using LazyPredict

LazyPredict is an open-source python library that helps you to semi-automate your Machine Learning Task. It can build multiple models without writing much code and helps understand which models work better for the processed dataset without requiring any parameter tuning.

Developers Corner
Victor Dey

Complete Guide To Text Summarizer Using Beautiful Soup

Beautiful Soup is an open-source Python library for getting data out of HTML, XML, and other markup languages. If you have some web pages that display the data relevant to your research, such as date, address information or important lines of text, but do not have any way of downloading the data directly, using Beautiful Soup can help you pull particular content from the webpage.

Developers Corner
Yugesh Verma

Hands-On Tutorial on Mean Shift Clustering Algorithm

Mean shift is based on the idea of KDE. We can make the points climb uphill to the nearest peak on the KDE surface. Mean shift is based on the idea of KDE, but what makes it different is that using the bandwidth parameter. We can make the points climb uphill to the nearest peak on the KDE surface. So, iteratively shifting each point to climb uphill to the peak.

Developers Corner
Victor Dey

Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment

The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with any numerical computation library, such as TensorFlow or Theano.

Developers Corner
Vijaysinh Lendave

Hands-On Guide to Generating Artificial Faces Using Progressive GAN

When it comes to large datasets with higher pixel values, GAN generates the images with sharp pixels that look crispy though make the training unstable. Generating high-resolution images is a challenging task because the generator must know the details and structures involved in images. The high-resolution images can cause any issues that the discriminator can easily spot; therefore, the whole training process fails.

Developers Corner
Victor Dey

Python 3.9 vs Python 3.10: A Feature Comparison

In this article, we will compare the features of two of the most recent versions of the Python programming language, Python 3.9 and Python 3.10, with their respective examples and try to explore what is different and new.

Developers Corner
Vijaysinh Lendave

Hands-On Tutorial on Performance Measure of Stratified K-Fold Cross-Validation

The most used validation technique is K-Fold Cross-validation which involves splitting the training dataset into k folds. The first k-1 folds are used for training, and the remaining fold is held for testing, which is repeated for K-folds. A total of K folds are fit and evaluated, and the mean accuracy for all these folds is returned.