Published inThe OwlUnderstanding and Calculating MACs and FLOPs in PyTorch Modelswith calflops and torchprofile2d ago2d ago
Published inThe OwlCompressing .nii Files to .nii.gz: A Guide to Efficient Data Management with NiBabel and SimpleITKIn medical imaging, handling large datasets efficiently is crucial for storage and processing purposes. Neuroimaging Informatics…May 12May 12
Published inThe OwlRow by Row: A Guide to Iterating Over Pandas DataFrames with iterrows() and loc[]Pandas DataFrames are a powerful tool for data analysis and manipulation. However, when working with large datasets, it’s often necessary…May 1May 1
Published inThe OwlGenerative Models — Diffusion Chapter — Part 1—Likelihood and ScoreBackground for Diffusion ModelsFeb 26Feb 26
Published inThe OwlNeural Networks — Part 0: A Journey Through Neural Network ArchitectureFrom the 20th Century to TodayFeb 14A response icon1Feb 14A response icon1
Published inThe OwlChess — Part 1: Establishing Communication Between Chess Engine and GUIIn the previous article (Chess — Part 0), we discussed the basic topics we will walk through and the essentials for building a chess…Jan 16Jan 16
Published inThe OwlHow to make an executable file from a Python scriptTo create a binary executable from Python script, you’ll need to use a tool that can package your Python code into a standalone executable.Jan 16Jan 16
Published inThe OwlChess — Part 0: Introduction to Chess Programming BasicsIn this article, we will go over the basics that need to be known before we start building our chess-playing AI. This article is not an…Jan 10Jan 10
Published inThe OwlProfiling different algorithms using the built-in timeit module in PythonBubble Sort, Quick Sort and Random Sampling methodsDec 27, 2024Dec 27, 2024
Published inThe OwlThe Trifecta of Random Sampling: Comparing Built-in Random, NumPy, and PyTorchDec 27, 2024Dec 27, 2024