Streamlit provides a straightforward way to implement real-time video and audio streaming in your applications using the streamlit-webrtc library. This blog post will guide you through using this library for handling media streams effectively. So, put on your coding...
How to Get Started with Cherry: A Reinforcement Learning Framework
If you're a researcher in the field of reinforcement learning, you're likely on the lookout for tools that allow flexibility and customization in algorithm design. Meet Cherry, a framework built atop PyTorch, specifically engineered for this purpose. In this article,...
Unlocking the Power of Optical Character Recognition: A Comprehensive Guide
Welcome to the ultimate resource for Optical Character Recognition (OCR) enthusiasts! In this blog, we will explore a treasure trove of academic papers, datasets, and references related to OCR. Whether you are a seasoned researcher or just getting started, you'll find...
How to Share Your Content with R Weekly
R Weekly is a wonderful platform dedicated to spreading the word about all things R-related. This includes blog posts, tutorials, screencasts, and slidedecks. If you'd like to have your work featured in R Weekly, here’s a friendly guide to help you navigate the...
Building an Image Classifier Using Keras
The fact that computers can see is no longer an astonishing concept, but the methodologies to teach them this skill have become more refined and accessible. In this article, we'll explore how to build an image classifier using Keras and Python. With just a basic...
How to Achieve Human-Level Text-to-Speech with StyleTTS 2
Welcome to the fascinating world of text-to-speech synthesis! Today, we will explore how to utilize StyleTTS 2, a cutting-edge model that employs style diffusion and adversarial training with large speech language models to generate remarkably human-like speech....
Exploring Solutions for Reinforcement Learning: A User-Friendly Guide
Dive into the captivating world of reinforcement learning with the insights provided in the esteemed book, Reinforcement Learning: An Introduction (2nd Edition) by Richard S. Sutton and Andrew G. Barto. This blog aims to equip you with a handy guide to tackle some of...
Taming the Environment: How to Implement TD3 for Bipedal Walker
The world of reinforcement learning offers exciting challenges, especially when handling environments like Bipedal Walker v2. This blog will guide you through using the Twin Delayed DDPG (TD3) algorithm, implemented in PyTorch, for training and testing robots in these...
A Comprehensive Guide to Useful References for Mini-Projects and Exams
Creating an efficient foundation for your mini-projects and exams is essential for academic success, especially in the field of data science and machine learning. This article serves as a user-friendly reference guide, providing curated lists of essential books and...







