The NVIDIA Object Detection Toolkit (ODTK) revolutionizes single-stage object detection by offering a seamless, end-to-end GPU optimization experience. This guide will walk you through the installation, usage, and troubleshooting of ODTK so you can leverage its...
How to Get Started with Machine Learning using scikit-learn
Welcome to the exciting world of Machine Learning! In this blog, we will guide you through the steps to leverage Python's popular scikit-learn library. With 10 informative video tutorials totaling 4.5 hours, along with corresponding Jupyter notebooks, you're set for a...
How to Get Started with Promptulate: A Quick Guide
Welcome to the exciting world of Promptulate! This framework developed by Cogit Lab is designed to help you build AI Agent applications effortlessly. With a Pythonic approach, you can accomplish most tasks with just a few lines of code. Let's dive into how to get...
How to Implement Fast Wavenet Generation
In the realm of audio generation, Fast Wavenet serves as a beacon of efficiency, pulling the curtain back on faster generation methods by trimming redundant computations. In this guide, we’ll walk through the implementation of this algorithm step-by-step, ensuring...
How to Reproduce 3D Gaussian Splatting for Real-Time Radiance Field Rendering in C++ and CUDA
Welcome to the exciting world of 3D Gaussian Splatting! In this guide, we will walk you through the process of reproducing the Gaussian-Splatting software developed by Inria and the Max Planck Institut for Informatik, now utilizing C++ and CUDA. This comprehensive...
How to Use Augmentor for Image Augmentation in Python
Augmentor is an innovative image augmentation library that assists machine learning model developers in creating diverse datasets. This guide will walk you through the steps to install and utilize Augmentor for your image enhancement needs. Installation To get started...
How to Prepare for Machine Learning Interviews: A Minimum Viable Study Plan
Embarking on a journey into Machine Learning (ML) interviews can be an exhilarating yet daunting experience. With the right strategy and resources, however, you can navigate your way through the complexities of this field. This article will guide you through a...
How to Dive into Deep Learning with Keras and TensorFlow in R
Welcome to your journey into the fascinating world of deep learning! This blog post will guide you through a two-day workshop designed to introduce you to the essential concepts of building deep learning models using TensorFlow and Keras via R. Whether you're a...
How to Implement Inverse Reinforcement Learning (IRL) Algorithms in Python
Inverse Reinforcement Learning (IRL) is a fascinating field in AI that enables machines to deduce the intentions behind observed behaviors. If you're looking to implement selected IRL algorithms using Python and TensorFlow, you've come to the right place! In this blog...