AI/ML Projects

An Introduction to AutoML: Basics, Benefits, and Getting Started

Automated Machine Learning, or AutoML, is a technology that simplifies the process of building machine learning models by automating various steps, from data preprocessing to model selection and tuning.

Guide to Transfer Learning with PyTorch

Using custom images with a pre-trained model like ResNet-18 is common in transfer learning to adapt the model to a specific task or dataset.

Building and Training a Simple GAN Using PyTorch

Generative Adversarial Networks (GANs) are a type of deep learning model consisting of two neural networks—a generator and a discriminator—that compete against each other to produce high-quality, realistic data.

Building a DQN AI Agent with Python, PyTorch, and Pygame

This article will guide you through building a DQN AI agent that learns to navigate a simple 5x5 grid, avoiding obstacles and reaching a goal.

Reinforcement Learning with Gym: A Beginner’s Guide to CartPole

In this article, we will walk through the process of setting up and interacting with the CartPole environment using OpenAI’s Gym library.

Reinforcement Learning Introduction

Let's dive into the key concepts, explore algorithms, and get a feel of how agents learn through interaction and feedback.

An Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks: Modeling Sequential Data

Recurrent Neural Networks (RNNs) are a type of artificial neural network designed to handle sequential data by maintaining a form of memory. They excel in tasks where context over time is critical, such as speech recognition and natural language processing.

An Introduction to AutoML: Basics, Benefits, and Getting Started

Guide to Transfer Learning with PyTorch

Building and Training a Simple GAN Using PyTorch

Building a DQN AI Agent with Python, PyTorch, and Pygame

Reinforcement Learning with Gym: A Beginner’s Guide to CartPole

Reinforcement Learning Introduction

An Introduction to Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks: Modeling Sequential Data

Predicting Movie Review Sentiment with Machine Learning

Introduction to CNNs: Convolutional Layers, Pooling Layers, and Fully Connected Layers

Building a Text-to-Speech (TTS) Web Application Using Python Flask and TTS Library

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