Data Science
OpenAI Vision API Experiments

OpenAI Vision API Experiments

Hello Welcome to your essential toolkit for experimenting with and building on the OpenAI Vision API. This repository acts as a creativity hub, where innovative experiments unfold from simple image classifications to advanced zero-shot learning models. Whether you are...

Understanding Reinforcement Learning: A User-Friendly Guide

Welcome to the captivating realm of Reinforcement Learning (RL)! If you've ever wondered how artificial agents learn to navigate mazes, play games, or control robots, you're in the right place. This blog will take you through the essentials of RL with useful tips and...

Handwritten Text Recognition with TensorFlow

Handwritten Text Recognition with TensorFlow

Welcome to this guide on building a Handwritten Text Recognition (HTR) system using TensorFlow! This blog will walk you through the process step-by-step, ensuring you understand how to implement and run your model. Along the way, we’ll troubleshoot common issues to...

How to Use the Quantulum3 Library for Information Extraction

How to Use the Quantulum3 Library for Information Extraction

The world of data extraction can sometimes feel like navigating a labyrinth without a map. Luckily, the Quantulum3 library offers a brilliant way to extract quantities, measurements, and units from unstructured text, helping you find your way through the complex maze...

How to Implement TecoGAN-PyTorch for Video Super-Resolution

How to Implement TecoGAN-PyTorch for Video Super-Resolution

In the world of video enhancement, TecoGAN stands tall as a model that not only improves resolution but also preserves temporal coherence. If you want to harness the power of this technology using PyTorch, you’ve come to the right place! Below, we'll guide you through...