AI/ML Techniques

How to Transform Images and Create Video with OpenCV

When you work with OpenCV, you most often work with images. However, you may find it useful to create animation…

2 years ago

K-Means Clustering in OpenCV and Application for Color Quantization

The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with…

2 years ago

How to Read and Display Videos Using OpenCV

Digital videos are close relatives of digital images because they are, indeed, made up of many digital images that are…

2 years ago

How to Read, Write, Display Images in OpenCV and Converting Color Spaces

When working with images, some of the most basic operations that are essential to get a grip on include reading…

2 years ago

A Gentle Introduction to OpenCV: An Open Source Library for Computer Vision and Machine Learning

If you are interested in working with images and video and would like to introduce machine learning into your computer…

2 years ago

Goal Representations for Instruction Following

Goal Representations for Instruction Following A longstanding goal of the field of robot learning has been to create generalist agents…

2 years ago

Rethinking the Role of PPO in RLHF

Rethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human…

2 years ago

Using ggplot2 for Visualization in R

Last Updated on September 26, 2023 One of the most popular plotting libraries in R is not the plotting function…

2 years ago

Exploring Data using dplyr in R

Last Updated on September 26, 2023 When you are working on a data science project, the data is often tabular…

2 years ago

A Gentle Introduction to Using R Markdown

Last Updated on September 18, 2023 One reason people would like to use RStudio for their work is because of…

2 years ago