Welcome to the world of Reinforcement Learning! In this article, we will explore how you can train an agent to play Flappy Bird using Deep Q-learning through a simple Python script. This is a basic yet engaging example of how AI can learn through experience, much like...
In the realm of image generation, Stable Diffusion has emerged as a powerful tool. This blog post will guide you step-by-step on how to implement a fully C++ solution for Stable Diffusion-based image synthesis, complete with text-to-image, image-to-image, and...
In today's data-driven world, understanding the decisions made by machine learning models is more critical than ever. Enter FastTreeSHAP, an innovative package that speeds up the computation of SHAP values, making model interpretation easier and more efficient. What...
Welcome to the world of Lagom! In this blog, we’re going to explore how to utilize Lagom, which is designed to help you prototype reinforcement learning (RL) algorithms swiftly and efficiently. Why Choose Lagom? Lagom embodies a philosophical approach inspired by its...
If you're venturing into the world of reinforcement learning and want to explore the capabilities of Tensorforce, you've found the right place! This guide walks you through how to install, set up, and use Tensorforce effectively, as well as provides troubleshooting...
Welcome to the world of stunning visual storytelling! In this article, we're going to explore how to travel between prompts in the latent space of the Stable Diffusion WebUI, using the extension script for creating pseudo-animations. This will enable you to generate...
Welcome to the adventure of building your very own Telegram crawler using Python and Telethon! In this guide, we will walk through the installation, configuration, usage, and limitations of the tool, providing you with a comprehensive understanding of how to harness...
The Fastai Book serves as an excellent introduction to deep learning, focusing on the Fastai library and PyTorch. This layered API simplifies the complex algorithms behind deep learning, allowing learners to grasp fundamental concepts without needing an extensive...
Deep Generative Models (DGMs) are a compelling area of study within the field of Natural Language Processing (NLP). These sophisticated models allow us to generate human-like text by understanding the fundamental factors that generate language. In this article, we...
