The Contrastive Audio-Visual Masked Autoencoder (CAV-MAE) is an innovative approach proposed in the ICLR 2023 paper to enhance audio-visual representation learning. This blog offers you a user-friendly guide to navigate through the steps needed to implement CAV-MAE,...
Understanding Perceptual Similarity Metric and Dataset
The **Perceptual Similarity Metric** (LPIPS) and its corresponding dataset (BAPPS) are powerful tools in the realm of image processing. This blog post will guide you through the setup and utilization of LPIPS to evaluate perceptual similarity and how to leverage the...
How to Create a Smart Budgeting App Using JavaScript
Welcome to our guide on developing a smart budgeting application that predicts expense locations using the KNN (K-nearest neighbors) algorithm. This application is a fun experiment in machine learning that you can implement right in your browser. Let’s dive into the...
How to Use Context Encoders for Feature Learning by Inpainting
In this guide, we will explore how to train Context Encoders, a powerful tool for unsupervised feature learning through the technique of image inpainting. Originating from the innovative research presented in the CVPR 2016 paper titled "Context Encoders: Feature...
How to Use BenchLLM for Continuous Integration of LLM Applications
Welcome to the exciting world of BenchLLM! If you're looking to streamline the testing of Large Language Models (LLMs) and their applications, you’re in the right place. This user-friendly guide will walk you through the process of implementing BenchLLM, ensuring your...
Pre-trained GANs, VAEs + Classifiers for MNIST & CIFAR10
A simple starting point for modeling with GANs and VAEs in PyTorch. Introduction Dive into the world of generative models with our pre-trained Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) specifically tailored for the MNIST and CIFAR10...
How to Use DeepCubeA for Problem Solving
DeepCubeA is a powerful framework designed for solving various combinatorial puzzles like the Rubik's Cube, 15-puzzle, Lights Out, and more using Deep Reinforcement Learning and A* search algorithms. In this guide, we'll walk you through the setup process, training,...
How to Use the InsuranceQA Data Library
The InsuranceQA Data Library is an invaluable resource for anyone working in the field of insurance-related question answering systems. In this article, we will walk you through installing the library, downloading the corpus, and utilizing training, validation, and...
How to Get Started with PyTorch for Deep Learning
Deep learning is transforming how we process data and build intelligent systems. One of the popular frameworks for deep learning is PyTorch. In this article, you'll learn how to start using PyTorch effectively through a series of lessons, complete with resources and...